public class PredictionServiceClient : ClientBase<PredictionService.PredictionServiceClient>
Client for PredictionService
Inheritance
Object > ClientBase > ClientBase<PredictionService.PredictionServiceClient> > PredictionService.PredictionServiceClientNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
PredictionServiceClient()
protected PredictionServiceClient()
Protected parameterless constructor to allow creation of test doubles.
PredictionServiceClient(CallInvoker)
public PredictionServiceClient(CallInvoker callInvoker)
Creates a new client for PredictionService that uses a custom CallInvoker
.
Parameter | |
---|---|
Name | Description |
callInvoker | CallInvoker The callInvoker to use to make remote calls. |
PredictionServiceClient(ChannelBase)
public PredictionServiceClient(ChannelBase channel)
Creates a new client for PredictionService
Parameter | |
---|---|
Name | Description |
channel | ChannelBase The channel to use to make remote calls. |
PredictionServiceClient(ClientBase.ClientBaseConfiguration)
protected PredictionServiceClient(ClientBase.ClientBaseConfiguration configuration)
Protected constructor to allow creation of configured clients.
Parameter | |
---|---|
Name | Description |
configuration | ClientBase.ClientBaseConfiguration The client configuration. |
Methods
BatchPredict(BatchPredictRequest, CallOptions)
public virtual Operation BatchPredict(BatchPredictRequest request, CallOptions options)
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
- AutoML Vision Classification
- AutoML Vision Object Detection
- AutoML Video Intelligence Classification
- AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
- AutoML Natural Language Entity Extraction
- AutoML Natural Language Sentiment Analysis
- AutoML Tables
Parameters | |
---|---|
Name | Description |
request | BatchPredictRequest The request to send to the server. |
options | CallOptions The options for the call. |
Returns | |
---|---|
Type | Description |
Operation | The response received from the server. |
BatchPredict(BatchPredictRequest, Metadata, Nullable<DateTime>, CancellationToken)
public virtual Operation BatchPredict(BatchPredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default(CancellationToken))
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
- AutoML Vision Classification
- AutoML Vision Object Detection
- AutoML Video Intelligence Classification
- AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
- AutoML Natural Language Entity Extraction
- AutoML Natural Language Sentiment Analysis
- AutoML Tables
Parameters | |
---|---|
Name | Description |
request | BatchPredictRequest The request to send to the server. |
headers | Metadata The initial metadata to send with the call. This parameter is optional. |
deadline | Nullable<DateTime> An optional deadline for the call. The call will be cancelled if deadline is hit. |
cancellationToken | CancellationToken An optional token for canceling the call. |
Returns | |
---|---|
Type | Description |
Operation | The response received from the server. |
BatchPredictAsync(BatchPredictRequest, CallOptions)
public virtual AsyncUnaryCall<Operation> BatchPredictAsync(BatchPredictRequest request, CallOptions options)
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
- AutoML Vision Classification
- AutoML Vision Object Detection
- AutoML Video Intelligence Classification
- AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
- AutoML Natural Language Entity Extraction
- AutoML Natural Language Sentiment Analysis
- AutoML Tables
Parameters | |
---|---|
Name | Description |
request | BatchPredictRequest The request to send to the server. |
options | CallOptions The options for the call. |
Returns | |
---|---|
Type | Description |
AsyncUnaryCall<Operation> | The call object. |
BatchPredictAsync(BatchPredictRequest, Metadata, Nullable<DateTime>, CancellationToken)
public virtual AsyncUnaryCall<Operation> BatchPredictAsync(BatchPredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default(CancellationToken))
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won't be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
- AutoML Vision Classification
- AutoML Vision Object Detection
- AutoML Video Intelligence Classification
- AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
- AutoML Natural Language Entity Extraction
- AutoML Natural Language Sentiment Analysis
- AutoML Tables
Parameters | |
---|---|
Name | Description |
request | BatchPredictRequest The request to send to the server. |
headers | Metadata The initial metadata to send with the call. This parameter is optional. |
deadline | Nullable<DateTime> An optional deadline for the call. The call will be cancelled if deadline is hit. |
cancellationToken | CancellationToken An optional token for canceling the call. |
Returns | |
---|---|
Type | Description |
AsyncUnaryCall<Operation> | The call object. |
CreateOperationsClient()
public virtual Operations.OperationsClient CreateOperationsClient()
Creates a new instance of Operations.OperationsClient using the same call invoker as this client.
Returns | |
---|---|
Type | Description |
Operations.OperationsClient | A new Operations client for the same target as this client. |
NewInstance(ClientBase.ClientBaseConfiguration)
protected override PredictionService.PredictionServiceClient NewInstance(ClientBase.ClientBaseConfiguration configuration)
Creates a new instance of client from given ClientBaseConfiguration
.
Parameter | |
---|---|
Name | Description |
configuration | ClientBase.ClientBaseConfiguration |
Returns | |
---|---|
Type | Description |
PredictionService.PredictionServiceClient |
Predict(PredictRequest, CallOptions)
public virtual PredictResponse Predict(PredictRequest request, CallOptions options)
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
- A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
- A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
- A row with column values matching
the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
Parameters | |
---|---|
Name | Description |
request | PredictRequest The request to send to the server. |
options | CallOptions The options for the call. |
Returns | |
---|---|
Type | Description |
PredictResponse | The response received from the server. |
Predict(PredictRequest, Metadata, Nullable<DateTime>, CancellationToken)
public virtual PredictResponse Predict(PredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default(CancellationToken))
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
- A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
- A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
- A row with column values matching
the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
Parameters | |
---|---|
Name | Description |
request | PredictRequest The request to send to the server. |
headers | Metadata The initial metadata to send with the call. This parameter is optional. |
deadline | Nullable<DateTime> An optional deadline for the call. The call will be cancelled if deadline is hit. |
cancellationToken | CancellationToken An optional token for canceling the call. |
Returns | |
---|---|
Type | Description |
PredictResponse | The response received from the server. |
PredictAsync(PredictRequest, CallOptions)
public virtual AsyncUnaryCall<PredictResponse> PredictAsync(PredictRequest request, CallOptions options)
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
- A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
- A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
- A row with column values matching
the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
Parameters | |
---|---|
Name | Description |
request | PredictRequest The request to send to the server. |
options | CallOptions The options for the call. |
Returns | |
---|---|
Type | Description |
AsyncUnaryCall<PredictResponse> | The call object. |
PredictAsync(PredictRequest, Metadata, Nullable<DateTime>, CancellationToken)
public virtual AsyncUnaryCall<PredictResponse> PredictAsync(PredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default(CancellationToken))
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
- An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
- A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
- A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
- A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
- A row with column values matching
the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
Parameters | |
---|---|
Name | Description |
request | PredictRequest The request to send to the server. |
headers | Metadata The initial metadata to send with the call. This parameter is optional. |
deadline | Nullable<DateTime> An optional deadline for the call. The call will be cancelled if deadline is hit. |
cancellationToken | CancellationToken An optional token for canceling the call. |
Returns | |
---|---|
Type | Description |
AsyncUnaryCall<PredictResponse> | The call object. |