Class AutoMlClient (2.2.0)

Version 2.2.0

• 3.4.0 (latest)
• 3.3.0
• 3.2.0
• 3.1.0
• 3.0.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.0
• 2.2.0

public abstract class AutoMlClient

AutoMl client wrapper, for convenient use.

Inheritance

Object > AutoMlClient

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Derived Types

AutoMlClientImpl

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Remarks

AutoML Server API.

The resource names are assigned by the server. The server never reuses names that it has created after the resources with those names are deleted.

An ID of a resource is the last element of the item's resource name. For projects/{project_id}/locations/{location_id}/datasets/{dataset_id}, then the id for the item is {dataset_id}.

Currently the only supported location_id is "us-central1".

On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.

Properties

CreateDatasetOperationsClient

public virtual OperationsClient CreateDatasetOperationsClient { get; }

The long-running operations client for CreateDataset.

Property Value
Type	Description
OperationsClient

CreateModelOperationsClient

public virtual OperationsClient CreateModelOperationsClient { get; }

The long-running operations client for CreateModel.

Property Value
Type	Description
OperationsClient

DefaultEndpoint

public static string DefaultEndpoint { get; }

The default endpoint for the AutoMl service, which is a host of "automl.googleapis.com" and a port of 443.

Property Value
Type	Description
String

DefaultScopes

public static IReadOnlyList<string> DefaultScopes { get; }

The default AutoMl scopes.

Property Value
Type	Description
IReadOnlyList<String>

Remarks

The default AutoMl scopes are:

• https://www.googleapis.com/auth/cloud-platform

DeleteDatasetOperationsClient

public virtual OperationsClient DeleteDatasetOperationsClient { get; }

The long-running operations client for DeleteDataset.

Property Value
Type	Description
OperationsClient

DeleteModelOperationsClient

public virtual OperationsClient DeleteModelOperationsClient { get; }

The long-running operations client for DeleteModel.

Property Value
Type	Description
OperationsClient

DeployModelOperationsClient

public virtual OperationsClient DeployModelOperationsClient { get; }

The long-running operations client for DeployModel.

Property Value
Type	Description
OperationsClient

ExportDataOperationsClient

public virtual OperationsClient ExportDataOperationsClient { get; }

The long-running operations client for ExportData.

Property Value
Type	Description
OperationsClient

ExportModelOperationsClient

public virtual OperationsClient ExportModelOperationsClient { get; }

The long-running operations client for ExportModel.

Property Value
Type	Description
OperationsClient

GrpcClient

public virtual AutoMl.AutoMlClient GrpcClient { get; }

The underlying gRPC AutoMl client

Property Value
Type	Description
AutoMl.AutoMlClient

ImportDataOperationsClient

public virtual OperationsClient ImportDataOperationsClient { get; }

The long-running operations client for ImportData.

Property Value
Type	Description
OperationsClient

UndeployModelOperationsClient

public virtual OperationsClient UndeployModelOperationsClient { get; }

The long-running operations client for UndeployModel.

Property Value
Type	Description
OperationsClient

Methods

Create()

public static AutoMlClient Create()

Synchronously creates a AutoMlClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use AutoMlClientBuilder.

Returns
Type	Description
AutoMlClient	The created AutoMlClient.

CreateAsync(CancellationToken)

public static Task<AutoMlClient> CreateAsync(CancellationToken cancellationToken = default(CancellationToken))

Asynchronously creates a AutoMlClient using the default credentials, endpoint and settings. To specify custom credentials or other settings, use AutoMlClientBuilder.

Parameter
Name	Description
cancellationToken	CancellationToken The CancellationToken to use while creating the client.

Returns
Type	Description
Task<AutoMlClient>	The task representing the created AutoMlClient.

CreateDataset(LocationName, Dataset, CallSettings)

public virtual Operation<Dataset, OperationMetadata> CreateDataset(LocationName parent, Dataset dataset, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
parent	LocationName Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Dataset, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDataset(CreateDatasetRequest, CallSettings)

public virtual Operation<Dataset, OperationMetadata> CreateDataset(CreateDatasetRequest request, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
request	CreateDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Dataset, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(request);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDataset(String, Dataset, CallSettings)

public virtual Operation<Dataset, OperationMetadata> CreateDataset(string parent, Dataset dataset, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
parent	String Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Dataset, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = autoMlClient.CreateDataset(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(LocationName, Dataset, CallSettings)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(LocationName parent, Dataset dataset, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
parent	LocationName Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(LocationName, Dataset, CancellationToken)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(LocationName parent, Dataset dataset, CancellationToken cancellationToken)

Creates a dataset.

Parameters
Name	Description
parent	LocationName Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(CreateDatasetRequest, CallSettings)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(CreateDatasetRequest request, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
request	CreateDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(request);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(CreateDatasetRequest, CancellationToken)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(CreateDatasetRequest request, CancellationToken cancellationToken)

Creates a dataset.

Parameters
Name	Description
request	CreateDatasetRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateDatasetRequest request = new CreateDatasetRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Dataset = new Dataset(),
};
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(request);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(String, Dataset, CallSettings)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(string parent, Dataset dataset, CallSettings callSettings = null)

Creates a dataset.

Parameters
Name	Description
parent	String Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateDatasetAsync(String, Dataset, CancellationToken)

public virtual Task<Operation<Dataset, OperationMetadata>> CreateDatasetAsync(string parent, Dataset dataset, CancellationToken cancellationToken)

Creates a dataset.

Parameters
Name	Description
parent	String Required. The resource name of the project to create the dataset for.
dataset	Dataset Required. The dataset to create.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Dataset dataset = new Dataset();
// Make the request
Operation<Dataset, OperationMetadata> response = await autoMlClient.CreateDatasetAsync(parent, dataset);

// Poll until the returned long-running operation is complete
Operation<Dataset, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Dataset result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Dataset, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Dataset retrievedResult = retrievedResponse.Result;
}

CreateModel(LocationName, Model, CallSettings)

public virtual Operation<Model, OperationMetadata> CreateModel(LocationName parent, Model model, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	LocationName Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Model, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModel(CreateModelRequest, CallSettings)

public virtual Operation<Model, OperationMetadata> CreateModel(CreateModelRequest request, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
request	CreateModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Model, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(request);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModel(String, Model, CallSettings)

public virtual Operation<Model, OperationMetadata> CreateModel(string parent, Model model, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	String Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Model, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = autoMlClient.CreateModel(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = autoMlClient.PollOnceCreateModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(LocationName, Model, CallSettings)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(LocationName parent, Model model, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	LocationName Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(LocationName, Model, CancellationToken)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(LocationName parent, Model model, CancellationToken cancellationToken)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	LocationName Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(CreateModelRequest, CallSettings)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(CreateModelRequest request, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
request	CreateModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(CreateModelRequest, CancellationToken)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(CreateModelRequest request, CancellationToken cancellationToken)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
request	CreateModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
CreateModelRequest request = new CreateModelRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Model = new Model(),
};
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(String, Model, CallSettings)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(string parent, Model model, CallSettings callSettings = null)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	String Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

CreateModelAsync(String, Model, CancellationToken)

public virtual Task<Operation<Model, OperationMetadata>> CreateModelAsync(string parent, Model model, CancellationToken cancellationToken)

Creates a model. Returns a Model in the [response][google.longrunning.Operation.response] field when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Parameters
Name	Description
parent	String Required. Resource name of the parent project where the model is being created.
model	Model Required. The model to create.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
Model model = new Model();
// Make the request
Operation<Model, OperationMetadata> response = await autoMlClient.CreateModelAsync(parent, model);

// Poll until the returned long-running operation is complete
Operation<Model, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Model result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Model, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceCreateModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Model retrievedResult = retrievedResponse.Result;
}

DeleteDataset(DatasetName, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteDataset(DatasetName name, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to delete.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDataset(DeleteDatasetRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteDataset(DeleteDatasetRequest request, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDataset(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteDataset(string name, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. The resource name of the dataset to delete.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteDataset(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteDataset(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(DatasetName, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DatasetName name, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to delete.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(DatasetName, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DatasetName name, CancellationToken cancellationToken)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to delete.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(DeleteDatasetRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DeleteDatasetRequest request, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(DeleteDatasetRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(DeleteDatasetRequest request, CancellationToken cancellationToken)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteDatasetRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteDatasetRequest request = new DeleteDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(string name, CallSettings callSettings = null)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. The resource name of the dataset to delete.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteDatasetAsync(String, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteDatasetAsync(string name, CancellationToken cancellationToken)

Deletes a dataset and all of its contents. Returns empty response in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. The resource name of the dataset to delete.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteDatasetAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteDatasetAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModel(DeleteModelRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteModel(DeleteModelRequest request, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModel(ModelName, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteModel(ModelName name, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	ModelName Required. Resource name of the model being deleted.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeleteModel(string name, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. Resource name of the model being deleted.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeleteModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeleteModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(DeleteModelRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(DeleteModelRequest request, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(DeleteModelRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(DeleteModelRequest request, CancellationToken cancellationToken)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
request	DeleteModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeleteModelRequest request = new DeleteModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(ModelName, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(ModelName name, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	ModelName Required. Resource name of the model being deleted.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(ModelName, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(ModelName name, CancellationToken cancellationToken)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	ModelName Required. Resource name of the model being deleted.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(string name, CallSettings callSettings = null)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. Resource name of the model being deleted.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeleteModelAsync(String, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeleteModelAsync(string name, CancellationToken cancellationToken)

Deletes a model. Returns google.protobuf.Empty in the [response][google.longrunning.Operation.response] field when it completes, and delete_details in the [metadata][google.longrunning.Operation.metadata] field.

Parameters
Name	Description
name	String Required. Resource name of the model being deleted.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeleteModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeleteModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModel(DeployModelRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeployModel(DeployModelRequest request, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	DeployModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModel(ModelName, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeployModel(ModelName name, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to deploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> DeployModel(string name, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to deploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.DeployModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceDeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(DeployModelRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(DeployModelRequest request, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	DeployModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(DeployModelRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(DeployModelRequest request, CancellationToken cancellationToken)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	DeployModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DeployModelRequest request = new DeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    ImageObjectDetectionModelDeploymentMetadata = new ImageObjectDetectionModelDeploymentMetadata(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(ModelName, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(ModelName name, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to deploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(ModelName, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(ModelName name, CancellationToken cancellationToken)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to deploy.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(string name, CallSettings callSettings = null)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to deploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

DeployModelAsync(String, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> DeployModelAsync(string name, CancellationToken cancellationToken)

Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing

[node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number]) will reset the deployment state without pausing the model's availability.

Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to deploy.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.DeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceDeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportData(DatasetName, OutputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportData(DatasetName name, OutputConfig outputConfig, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportData(ExportDataRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportData(ExportDataRequest request, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportDataRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportData(String, OutputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportData(string name, OutputConfig outputConfig, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportData(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(DatasetName, OutputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(DatasetName name, OutputConfig outputConfig, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(DatasetName, OutputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(DatasetName name, OutputConfig outputConfig, CancellationToken cancellationToken)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(ExportDataRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(ExportDataRequest request, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportDataRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(ExportDataRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(ExportDataRequest request, CancellationToken cancellationToken)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportDataRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportDataRequest request = new ExportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    OutputConfig = new OutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(String, OutputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(string name, OutputConfig outputConfig, CallSettings callSettings = null)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportDataAsync(String, OutputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportDataAsync(string name, OutputConfig outputConfig, CancellationToken cancellationToken)

Exports dataset's data to the provided output location. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the dataset.
outputConfig	OutputConfig Required. The desired output location.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
OutputConfig outputConfig = new OutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportDataAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModel(ExportModelRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportModel(ExportModelRequest request, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModel(ModelName, ModelExportOutputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportModel(ModelName name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModel(String, ModelExportOutputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ExportModel(string name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ExportModel(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceExportModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(ExportModelRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ExportModelRequest request, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(ExportModelRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ExportModelRequest request, CancellationToken cancellationToken)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ExportModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ExportModelRequest request = new ExportModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    OutputConfig = new ModelExportOutputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(ModelName, ModelExportOutputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ModelName name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(ModelName, ModelExportOutputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(ModelName name, ModelExportOutputConfig outputConfig, CancellationToken cancellationToken)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(String, ModelExportOutputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(string name, ModelExportOutputConfig outputConfig, CallSettings callSettings = null)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ExportModelAsync(String, ModelExportOutputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ExportModelAsync(string name, ModelExportOutputConfig outputConfig, CancellationToken cancellationToken)

Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export format defined for it in [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. The resource name of the model to export.
outputConfig	ModelExportOutputConfig Required. The desired output location and configuration.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
ModelExportOutputConfig outputConfig = new ModelExportOutputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ExportModelAsync(name, outputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceExportModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

GetAnnotationSpec(AnnotationSpecName, CallSettings)

public virtual AnnotationSpec GetAnnotationSpec(AnnotationSpecName name, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
name	AnnotationSpecName Required. The resource name of the annotation spec to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
AnnotationSpec	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(name);

GetAnnotationSpec(GetAnnotationSpecRequest, CallSettings)

public virtual AnnotationSpec GetAnnotationSpec(GetAnnotationSpecRequest request, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
request	GetAnnotationSpecRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
AnnotationSpec	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
    AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(request);

GetAnnotationSpec(String, CallSettings)

public virtual AnnotationSpec GetAnnotationSpec(string name, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
name	String Required. The resource name of the annotation spec to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
AnnotationSpec	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = autoMlClient.GetAnnotationSpec(name);

GetAnnotationSpecAsync(AnnotationSpecName, CallSettings)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(AnnotationSpecName name, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
name	AnnotationSpecName Required. The resource name of the annotation spec to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);

GetAnnotationSpecAsync(AnnotationSpecName, CancellationToken)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(AnnotationSpecName name, CancellationToken cancellationToken)

Gets an annotation spec.

Parameters
Name	Description
name	AnnotationSpecName Required. The resource name of the annotation spec to retrieve.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
AnnotationSpecName name = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]");
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);

GetAnnotationSpecAsync(GetAnnotationSpecRequest, CallSettings)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(GetAnnotationSpecRequest request, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
request	GetAnnotationSpecRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
    AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(request);

GetAnnotationSpecAsync(GetAnnotationSpecRequest, CancellationToken)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(GetAnnotationSpecRequest request, CancellationToken cancellationToken)

Gets an annotation spec.

Parameters
Name	Description
request	GetAnnotationSpecRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetAnnotationSpecRequest request = new GetAnnotationSpecRequest
{
    AnnotationSpecName = AnnotationSpecName.FromProjectLocationDatasetAnnotationSpec("[PROJECT]", "[LOCATION]", "[DATASET]", "[ANNOTATION_SPEC]"),
};
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(request);

GetAnnotationSpecAsync(String, CallSettings)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(string name, CallSettings callSettings = null)

Gets an annotation spec.

Parameters
Name	Description
name	String Required. The resource name of the annotation spec to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);

GetAnnotationSpecAsync(String, CancellationToken)

public virtual Task<AnnotationSpec> GetAnnotationSpecAsync(string name, CancellationToken cancellationToken)

Gets an annotation spec.

Parameters
Name	Description
name	String Required. The resource name of the annotation spec to retrieve.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<AnnotationSpec>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]/annotationSpecs/[ANNOTATION_SPEC]";
// Make the request
AnnotationSpec response = await autoMlClient.GetAnnotationSpecAsync(name);

GetDataset(DatasetName, CallSettings)

public virtual Dataset GetDataset(DatasetName name, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Dataset	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = autoMlClient.GetDataset(name);

GetDataset(GetDatasetRequest, CallSettings)

public virtual Dataset GetDataset(GetDatasetRequest request, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
request	GetDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Dataset	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = autoMlClient.GetDataset(request);

GetDataset(String, CallSettings)

public virtual Dataset GetDataset(string name, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
name	String Required. The resource name of the dataset to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Dataset	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = autoMlClient.GetDataset(name);

GetDatasetAsync(DatasetName, CallSettings)

public virtual Task<Dataset> GetDatasetAsync(DatasetName name, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);

GetDatasetAsync(DatasetName, CancellationToken)

public virtual Task<Dataset> GetDatasetAsync(DatasetName name, CancellationToken cancellationToken)

Gets a dataset.

Parameters
Name	Description
name	DatasetName Required. The resource name of the dataset to retrieve.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);

GetDatasetAsync(GetDatasetRequest, CallSettings)

public virtual Task<Dataset> GetDatasetAsync(GetDatasetRequest request, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
request	GetDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(request);

GetDatasetAsync(GetDatasetRequest, CancellationToken)

public virtual Task<Dataset> GetDatasetAsync(GetDatasetRequest request, CancellationToken cancellationToken)

Gets a dataset.

Parameters
Name	Description
request	GetDatasetRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetDatasetRequest request = new GetDatasetRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
};
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(request);

GetDatasetAsync(String, CallSettings)

public virtual Task<Dataset> GetDatasetAsync(string name, CallSettings callSettings = null)

Gets a dataset.

Parameters
Name	Description
name	String Required. The resource name of the dataset to retrieve.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);

GetDatasetAsync(String, CancellationToken)

public virtual Task<Dataset> GetDatasetAsync(string name, CancellationToken cancellationToken)

Gets a dataset.

Parameters
Name	Description
name	String Required. The resource name of the dataset to retrieve.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
// Make the request
Dataset response = await autoMlClient.GetDatasetAsync(name);

GetModel(GetModelRequest, CallSettings)

public virtual Model GetModel(GetModelRequest request, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
request	GetModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Model	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = autoMlClient.GetModel(request);

GetModel(ModelName, CallSettings)

public virtual Model GetModel(ModelName name, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
name	ModelName Required. Resource name of the model.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Model	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = autoMlClient.GetModel(name);

GetModel(String, CallSettings)

public virtual Model GetModel(string name, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
name	String Required. Resource name of the model.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Model	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = autoMlClient.GetModel(name);

GetModelAsync(GetModelRequest, CallSettings)

public virtual Task<Model> GetModelAsync(GetModelRequest request, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
request	GetModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = await autoMlClient.GetModelAsync(request);

GetModelAsync(GetModelRequest, CancellationToken)

public virtual Task<Model> GetModelAsync(GetModelRequest request, CancellationToken cancellationToken)

Gets a model.

Parameters
Name	Description
request	GetModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelRequest request = new GetModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Model response = await autoMlClient.GetModelAsync(request);

GetModelAsync(ModelName, CallSettings)

public virtual Task<Model> GetModelAsync(ModelName name, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
name	ModelName Required. Resource name of the model.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = await autoMlClient.GetModelAsync(name);

GetModelAsync(ModelName, CancellationToken)

public virtual Task<Model> GetModelAsync(ModelName name, CancellationToken cancellationToken)

Gets a model.

Parameters
Name	Description
name	ModelName Required. Resource name of the model.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Model response = await autoMlClient.GetModelAsync(name);

GetModelAsync(String, CallSettings)

public virtual Task<Model> GetModelAsync(string name, CallSettings callSettings = null)

Gets a model.

Parameters
Name	Description
name	String Required. Resource name of the model.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = await autoMlClient.GetModelAsync(name);

GetModelAsync(String, CancellationToken)

public virtual Task<Model> GetModelAsync(string name, CancellationToken cancellationToken)

Gets a model.

Parameters
Name	Description
name	String Required. Resource name of the model.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Model response = await autoMlClient.GetModelAsync(name);

GetModelEvaluation(GetModelEvaluationRequest, CallSettings)

public virtual ModelEvaluation GetModelEvaluation(GetModelEvaluationRequest request, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
request	GetModelEvaluationRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
ModelEvaluation	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
    ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(request);

GetModelEvaluation(ModelEvaluationName, CallSettings)

public virtual ModelEvaluation GetModelEvaluation(ModelEvaluationName name, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
name	ModelEvaluationName Required. Resource name for the model evaluation.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
ModelEvaluation	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(name);

GetModelEvaluation(String, CallSettings)

public virtual ModelEvaluation GetModelEvaluation(string name, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
name	String Required. Resource name for the model evaluation.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
ModelEvaluation	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = autoMlClient.GetModelEvaluation(name);

GetModelEvaluationAsync(GetModelEvaluationRequest, CallSettings)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(GetModelEvaluationRequest request, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
request	GetModelEvaluationRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
    ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(request);

GetModelEvaluationAsync(GetModelEvaluationRequest, CancellationToken)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(GetModelEvaluationRequest request, CancellationToken cancellationToken)

Gets a model evaluation.

Parameters
Name	Description
request	GetModelEvaluationRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
GetModelEvaluationRequest request = new GetModelEvaluationRequest
{
    ModelEvaluationName = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]"),
};
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(request);

GetModelEvaluationAsync(ModelEvaluationName, CallSettings)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(ModelEvaluationName name, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
name	ModelEvaluationName Required. Resource name for the model evaluation.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);

GetModelEvaluationAsync(ModelEvaluationName, CancellationToken)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(ModelEvaluationName name, CancellationToken cancellationToken)

Gets a model evaluation.

Parameters
Name	Description
name	ModelEvaluationName Required. Resource name for the model evaluation.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelEvaluationName name = ModelEvaluationName.FromProjectLocationModelModelEvaluation("[PROJECT]", "[LOCATION]", "[MODEL]", "[MODEL_EVALUATION]");
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);

GetModelEvaluationAsync(String, CallSettings)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(string name, CallSettings callSettings = null)

Gets a model evaluation.

Parameters
Name	Description
name	String Required. Resource name for the model evaluation.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);

GetModelEvaluationAsync(String, CancellationToken)

public virtual Task<ModelEvaluation> GetModelEvaluationAsync(string name, CancellationToken cancellationToken)

Gets a model evaluation.

Parameters
Name	Description
name	String Required. Resource name for the model evaluation.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<ModelEvaluation>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]/modelEvaluations/[MODEL_EVALUATION]";
// Make the request
ModelEvaluation response = await autoMlClient.GetModelEvaluationAsync(name);

ImportData(DatasetName, InputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ImportData(DatasetName name, InputConfig inputConfig, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportData(ImportDataRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> ImportData(ImportDataRequest request, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ImportDataRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportData(String, InputConfig, CallSettings)

public virtual Operation<Empty, OperationMetadata> ImportData(string name, InputConfig inputConfig, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.ImportData(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceImportData(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(DatasetName, InputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(DatasetName name, InputConfig inputConfig, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(DatasetName, InputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(DatasetName name, InputConfig inputConfig, CancellationToken cancellationToken)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	DatasetName Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
DatasetName name = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]");
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(ImportDataRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(ImportDataRequest request, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ImportDataRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(ImportDataRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(ImportDataRequest request, CancellationToken cancellationToken)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	ImportDataRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ImportDataRequest request = new ImportDataRequest
{
    DatasetName = DatasetName.FromProjectLocationDataset("[PROJECT]", "[LOCATION]", "[DATASET]"),
    InputConfig = new InputConfig(),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(String, InputConfig, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(string name, InputConfig inputConfig, CallSettings callSettings = null)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ImportDataAsync(String, InputConfig, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> ImportDataAsync(string name, InputConfig inputConfig, CancellationToken cancellationToken)

Imports data into a dataset. For Tables this method can only be called on an empty Dataset.

For Tables:

• A [schema_inference_version][google.cloud.automl.v1.InputConfig.params] parameter must be explicitly set. Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Dataset name. Dataset must already exist. All imported annotations and examples will be added.
inputConfig	InputConfig Required. The desired input location and its domain specific semantics, if any.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/datasets/[DATASET]";
InputConfig inputConfig = new InputConfig();
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.ImportDataAsync(name, inputConfig);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceImportDataAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

ListDatasets(LocationName, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(LocationName parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
parent	LocationName Required. The resource name of the project from which to list datasets.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListDatasetsResponse, Dataset>	A pageable sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(parent);

// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListDatasets(ListDatasetsRequest, CallSettings)

public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(ListDatasetsRequest request, CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
request	ListDatasetsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListDatasetsResponse, Dataset>	A pageable sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListDatasetsRequest request = new ListDatasetsRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Filter = "",
};
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(request);

// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListDatasets(String, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListDatasetsResponse, Dataset> ListDatasets(string parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
parent	String Required. The resource name of the project from which to list datasets.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListDatasetsResponse, Dataset>	A pageable sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasets(parent);

// Iterate over all response items, lazily performing RPCs as required
foreach (Dataset item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListDatasetsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListDatasetsAsync(LocationName, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(LocationName parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
parent	LocationName Required. The resource name of the project from which to list datasets.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListDatasetsResponse, Dataset>	A pageable asynchronous sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(parent);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListDatasetsAsync(ListDatasetsRequest, CallSettings)

public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(ListDatasetsRequest request, CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
request	ListDatasetsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListDatasetsResponse, Dataset>	A pageable asynchronous sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListDatasetsRequest request = new ListDatasetsRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(request);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListDatasetsAsync(String, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListDatasetsResponse, Dataset> ListDatasetsAsync(string parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists datasets in a project.

Parameters
Name	Description
parent	String Required. The resource name of the project from which to list datasets.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListDatasetsResponse, Dataset>	A pageable asynchronous sequence of Dataset resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedAsyncEnumerable<ListDatasetsResponse, Dataset> response = autoMlClient.ListDatasetsAsync(parent);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Dataset item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListDatasetsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Dataset item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Dataset> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Dataset item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluations(ListModelEvaluationsRequest, CallSettings)

public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(ListModelEvaluationsRequest request, CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
request	ListModelEvaluationsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListModelEvaluationsRequest request = new ListModelEvaluationsRequest
{
    ParentAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    Filter = "",
};
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(request);

// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluations(ModelName, String, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(ModelName parent, string filter, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
parent	ModelName Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
filter	String Required. An expression for filtering the results of the request. annotation_spec_id - for =, != or existence. See example below for the last. Some examples of using the filter are: annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4. NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName parent = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
string filter = "";
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(parent, filter);

// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluations(String, String, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluations(string parent, string filter, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
parent	String Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
filter	String Required. An expression for filtering the results of the request. annotation_spec_id - for =, != or existence. See example below for the last. Some examples of using the filter are: annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4. NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
string filter = "";
// Make the request
PagedEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluations(parent, filter);

// Iterate over all response items, lazily performing RPCs as required
foreach (ModelEvaluation item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelEvaluationsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluationsAsync(ListModelEvaluationsRequest, CallSettings)

public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(ListModelEvaluationsRequest request, CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
request	ListModelEvaluationsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable asynchronous sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListModelEvaluationsRequest request = new ListModelEvaluationsRequest
{
    ParentAsModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
    Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(request);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluationsAsync(ModelName, String, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(ModelName parent, string filter, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
parent	ModelName Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
filter	String Required. An expression for filtering the results of the request. annotation_spec_id - for =, != or existence. See example below for the last. Some examples of using the filter are: annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4. NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable asynchronous sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName parent = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
string filter = "";
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(parent, filter);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelEvaluationsAsync(String, String, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> ListModelEvaluationsAsync(string parent, string filter, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists model evaluations.

Parameters
Name	Description
parent	String Required. Resource name of the model to list the model evaluations for. If modelId is set as "-", this will list model evaluations from across all models of the parent location.
filter	String Required. An expression for filtering the results of the request. annotation_spec_id - for =, != or existence. See example below for the last. Some examples of using the filter are: annotation_spec_id!=4 --> The model evaluation was done for annotation spec with ID different than 4. NOT annotation_spec_id:* --> The model evaluation was done for aggregate of all annotation specs.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation>	A pageable asynchronous sequence of ModelEvaluation resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
string filter = "";
// Make the request
PagedAsyncEnumerable<ListModelEvaluationsResponse, ModelEvaluation> response = autoMlClient.ListModelEvaluationsAsync(parent, filter);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((ModelEvaluation item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelEvaluationsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (ModelEvaluation item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<ModelEvaluation> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (ModelEvaluation item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModels(LocationName, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(LocationName parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
parent	LocationName Required. Resource name of the project, from which to list the models.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelsResponse, Model>	A pageable sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(parent);

// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModels(ListModelsRequest, CallSettings)

public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(ListModelsRequest request, CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
request	ListModelsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelsResponse, Model>	A pageable sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ListModelsRequest request = new ListModelsRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Filter = "",
};
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(request);

// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModels(String, String, Nullable<Int32>, CallSettings)

public virtual PagedEnumerable<ListModelsResponse, Model> ListModels(string parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
parent	String Required. Resource name of the project, from which to list the models.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedEnumerable<ListModelsResponse, Model>	A pageable sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModels(parent);

// Iterate over all response items, lazily performing RPCs as required
foreach (Model item in response)
{
    // Do something with each item
    Console.WriteLine(item);
}

// Or iterate over pages (of server-defined size), performing one RPC per page
foreach (ListModelsResponse page in response.AsRawResponses())
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
}

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = response.ReadPage(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelsAsync(LocationName, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(LocationName parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
parent	LocationName Required. Resource name of the project, from which to list the models.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelsResponse, Model>	A pageable asynchronous sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
LocationName parent = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]");
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(parent);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelsAsync(ListModelsRequest, CallSettings)

public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(ListModelsRequest request, CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
request	ListModelsRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelsResponse, Model>	A pageable asynchronous sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ListModelsRequest request = new ListModelsRequest
{
    ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
    Filter = "",
};
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(request);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

ListModelsAsync(String, String, Nullable<Int32>, CallSettings)

public virtual PagedAsyncEnumerable<ListModelsResponse, Model> ListModelsAsync(string parent, string pageToken = null, int? pageSize = default(int? ), CallSettings callSettings = null)

Lists models.

Parameters
Name	Description
parent	String Required. Resource name of the project, from which to list the models.
pageToken	String The token returned from the previous request. A value of null or an empty string retrieves the first page.
pageSize	Nullable<Int32> The size of page to request. The response will not be larger than this, but may be smaller. A value of null or 0 uses a server-defined page size.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
PagedAsyncEnumerable<ListModelsResponse, Model>	A pageable asynchronous sequence of Model resources.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string parent = "projects/[PROJECT]/locations/[LOCATION]";
// Make the request
PagedAsyncEnumerable<ListModelsResponse, Model> response = autoMlClient.ListModelsAsync(parent);

// Iterate over all response items, lazily performing RPCs as required
await response.ForEachAsync((Model item) =>
{
    // Do something with each item
    Console.WriteLine(item);
});

// Or iterate over pages (of server-defined size), performing one RPC per page
await response.AsRawResponses().ForEachAsync((ListModelsResponse page) =>
{
    // Do something with each page of items
    Console.WriteLine("A page of results:");
    foreach (Model item in page)
    {
        // Do something with each item
        Console.WriteLine(item);
    }
});

// Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
int pageSize = 10;
Page<Model> singlePage = await response.ReadPageAsync(pageSize);
// Do something with the page of items
Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
foreach (Model item in singlePage)
{
    // Do something with each item
    Console.WriteLine(item);
}
// Store the pageToken, for when the next page is required.
string nextPageToken = singlePage.NextPageToken;

PollOnceCreateDataset(String, CallSettings)

public virtual Operation<Dataset, OperationMetadata> PollOnceCreateDataset(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of CreateDataset.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Dataset, OperationMetadata>	The result of polling the operation.

PollOnceCreateDatasetAsync(String, CallSettings)

public virtual Task<Operation<Dataset, OperationMetadata>> PollOnceCreateDatasetAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of CreateDataset.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Dataset, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceCreateModel(String, CallSettings)

public virtual Operation<Model, OperationMetadata> PollOnceCreateModel(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of CreateModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Model, OperationMetadata>	The result of polling the operation.

PollOnceCreateModelAsync(String, CallSettings)

public virtual Task<Operation<Model, OperationMetadata>> PollOnceCreateModelAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of CreateModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Model, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceDeleteDataset(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceDeleteDataset(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of DeleteDataset.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceDeleteDatasetAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeleteDatasetAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of DeleteDataset.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceDeleteModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceDeleteModel(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of DeleteModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceDeleteModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeleteModelAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of DeleteModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceDeployModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceDeployModel(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of DeployModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceDeployModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceDeployModelAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of DeployModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceExportData(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceExportData(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of ExportData.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceExportDataAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceExportDataAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of ExportData.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceExportModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceExportModel(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of ExportModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceExportModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceExportModelAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of ExportModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceImportData(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceImportData(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of ImportData.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceImportDataAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceImportDataAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of ImportData.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

PollOnceUndeployModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> PollOnceUndeployModel(string operationName, CallSettings callSettings = null)

Poll an operation once, using an operationName from a previous invocation of UndeployModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The result of polling the operation.

PollOnceUndeployModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> PollOnceUndeployModelAsync(string operationName, CallSettings callSettings = null)

Asynchronously poll an operation once, using an operationName from a previous invocation of UndeployModel.

Parameters
Name	Description
operationName	String The name of a previously invoked operation. Must not be null or empty.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A task representing the result of polling the operation.

ShutdownDefaultChannelsAsync()

public static Task ShutdownDefaultChannelsAsync()

Shuts down any channels automatically created by Create() and CreateAsync(CancellationToken). Channels which weren't automatically created are not affected.

Returns
Type	Description
Task	A task representing the asynchronous shutdown operation.

Remarks

After calling this method, further calls to Create() and CreateAsync(CancellationToken) will create new channels, which could in turn be shut down by another call to this method.

UndeployModel(ModelName, CallSettings)

public virtual Operation<Empty, OperationMetadata> UndeployModel(ModelName name, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to undeploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModel(UndeployModelRequest, CallSettings)

public virtual Operation<Empty, OperationMetadata> UndeployModel(UndeployModelRequest request, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	UndeployModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModel(String, CallSettings)

public virtual Operation<Empty, OperationMetadata> UndeployModel(string name, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to undeploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Operation<Empty, OperationMetadata>	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = autoMlClient.UndeployModel(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = response.PollUntilCompleted();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = autoMlClient.PollOnceUndeployModel(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(ModelName, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(ModelName name, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to undeploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(ModelName, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(ModelName name, CancellationToken cancellationToken)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	ModelName Required. Resource name of the model to undeploy.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
ModelName name = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]");
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(UndeployModelRequest, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(UndeployModelRequest request, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	UndeployModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(UndeployModelRequest, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(UndeployModelRequest request, CancellationToken cancellationToken)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
request	UndeployModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UndeployModelRequest request = new UndeployModelRequest
{
    ModelName = ModelName.FromProjectLocationModel("[PROJECT]", "[LOCATION]", "[MODEL]"),
};
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(request);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(String, CallSettings)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(string name, CallSettings callSettings = null)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to undeploy.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UndeployModelAsync(String, CancellationToken)

public virtual Task<Operation<Empty, OperationMetadata>> UndeployModelAsync(string name, CancellationToken cancellationToken)

Undeploys a model. If the model is not deployed this method has no effect.

Only applicable for Text Classification, Image Object Detection and Tables; all other domains manage deployment automatically.

Returns an empty response in the [response][google.longrunning.Operation.response] field when it completes.

Parameters
Name	Description
name	String Required. Resource name of the model to undeploy.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Operation<Empty, OperationMetadata>>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
string name = "projects/[PROJECT]/locations/[LOCATION]/models/[MODEL]";
// Make the request
Operation<Empty, OperationMetadata> response = await autoMlClient.UndeployModelAsync(name);

// Poll until the returned long-running operation is complete
Operation<Empty, OperationMetadata> completedResponse = await response.PollUntilCompletedAsync();
// Retrieve the operation result
Empty result = completedResponse.Result;

// Or get the name of the operation
string operationName = response.Name;
// This name can be stored, then the long-running operation retrieved later by name
Operation<Empty, OperationMetadata> retrievedResponse = await autoMlClient.PollOnceUndeployModelAsync(operationName);
// Check if the retrieved long-running operation has completed
if (retrievedResponse.IsCompleted)
{
    // If it has completed, then access the result
    Empty retrievedResult = retrievedResponse.Result;
}

UpdateDataset(Dataset, FieldMask, CallSettings)

public virtual Dataset UpdateDataset(Dataset dataset, FieldMask updateMask, CallSettings callSettings = null)

Updates a dataset.

Parameters
Name	Description
dataset	Dataset Required. The dataset which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Dataset	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = autoMlClient.UpdateDataset(dataset, updateMask);

UpdateDataset(UpdateDatasetRequest, CallSettings)

public virtual Dataset UpdateDataset(UpdateDatasetRequest request, CallSettings callSettings = null)

Updates a dataset.

Parameters
Name	Description
request	UpdateDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Dataset	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
    Dataset = new Dataset(),
    UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = autoMlClient.UpdateDataset(request);

UpdateDatasetAsync(Dataset, FieldMask, CallSettings)

public virtual Task<Dataset> UpdateDatasetAsync(Dataset dataset, FieldMask updateMask, CallSettings callSettings = null)

Updates a dataset.

Parameters
Name	Description
dataset	Dataset Required. The dataset which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(dataset, updateMask);

UpdateDatasetAsync(Dataset, FieldMask, CancellationToken)

public virtual Task<Dataset> UpdateDatasetAsync(Dataset dataset, FieldMask updateMask, CancellationToken cancellationToken)

Updates a dataset.

Parameters
Name	Description
dataset	Dataset Required. The dataset which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Dataset dataset = new Dataset();
FieldMask updateMask = new FieldMask();
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(dataset, updateMask);

UpdateDatasetAsync(UpdateDatasetRequest, CallSettings)

public virtual Task<Dataset> UpdateDatasetAsync(UpdateDatasetRequest request, CallSettings callSettings = null)

Updates a dataset.

Parameters
Name	Description
request	UpdateDatasetRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
    Dataset = new Dataset(),
    UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(request);

UpdateDatasetAsync(UpdateDatasetRequest, CancellationToken)

public virtual Task<Dataset> UpdateDatasetAsync(UpdateDatasetRequest request, CancellationToken cancellationToken)

Updates a dataset.

Parameters
Name	Description
request	UpdateDatasetRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Dataset>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateDatasetRequest request = new UpdateDatasetRequest
{
    Dataset = new Dataset(),
    UpdateMask = new FieldMask(),
};
// Make the request
Dataset response = await autoMlClient.UpdateDatasetAsync(request);

UpdateModel(Model, FieldMask, CallSettings)

public virtual Model UpdateModel(Model model, FieldMask updateMask, CallSettings callSettings = null)

Updates a model.

Parameters
Name	Description
model	Model Required. The model which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Model	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = autoMlClient.UpdateModel(model, updateMask);

UpdateModel(UpdateModelRequest, CallSettings)

public virtual Model UpdateModel(UpdateModelRequest request, CallSettings callSettings = null)

Updates a model.

Parameters
Name	Description
request	UpdateModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Model	The RPC response.

Example

// Create client
AutoMlClient autoMlClient = AutoMlClient.Create();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
    Model = new Model(),
    UpdateMask = new FieldMask(),
};
// Make the request
Model response = autoMlClient.UpdateModel(request);

UpdateModelAsync(Model, FieldMask, CallSettings)

public virtual Task<Model> UpdateModelAsync(Model model, FieldMask updateMask, CallSettings callSettings = null)

Updates a model.

Parameters
Name	Description
model	Model Required. The model which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = await autoMlClient.UpdateModelAsync(model, updateMask);

UpdateModelAsync(Model, FieldMask, CancellationToken)

public virtual Task<Model> UpdateModelAsync(Model model, FieldMask updateMask, CancellationToken cancellationToken)

Updates a model.

Parameters
Name	Description
model	Model Required. The model which replaces the resource on the server.
updateMask	FieldMask Required. The update mask applies to the resource.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
Model model = new Model();
FieldMask updateMask = new FieldMask();
// Make the request
Model response = await autoMlClient.UpdateModelAsync(model, updateMask);

UpdateModelAsync(UpdateModelRequest, CallSettings)

public virtual Task<Model> UpdateModelAsync(UpdateModelRequest request, CallSettings callSettings = null)

Updates a model.

Parameters
Name	Description
request	UpdateModelRequest The request object containing all of the parameters for the API call.
callSettings	CallSettings If not null, applies overrides to this RPC call.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
    Model = new Model(),
    UpdateMask = new FieldMask(),
};
// Make the request
Model response = await autoMlClient.UpdateModelAsync(request);

UpdateModelAsync(UpdateModelRequest, CancellationToken)

public virtual Task<Model> UpdateModelAsync(UpdateModelRequest request, CancellationToken cancellationToken)

Updates a model.

Parameters
Name	Description
request	UpdateModelRequest The request object containing all of the parameters for the API call.
cancellationToken	CancellationToken A CancellationToken to use for this RPC.

Returns
Type	Description
Task<Model>	A Task containing the RPC response.

Example

// Create client
AutoMlClient autoMlClient = await AutoMlClient.CreateAsync();
// Initialize request argument(s)
UpdateModelRequest request = new UpdateModelRequest
{
    Model = new Model(),
    UpdateMask = new FieldMask(),
};
// Make the request
Model response = await autoMlClient.UpdateModelAsync(request);