Cloud AI Platform v1 API - Class PredictionService.PredictionServiceClient (2.11.0)

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public class PredictionService.PredictionServiceClient : ClientBase<PredictionService.PredictionServiceClient>

Reference documentation and code samples for the Cloud AI Platform v1 API class PredictionService.PredictionServiceClient.

Client for PredictionService

Inheritance

object > ClientBase > ClientBasePredictionServicePredictionServiceClient > PredictionService.PredictionServiceClient

Inherited Members

ClientBase<PredictionService.PredictionServiceClient>.WithHost(string)

ClientBase.CallInvoker

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ToString()

Namespace

GoogleCloudGoogle.Cloud.AIPlatformV1

Assembly

Google.Cloud.AIPlatform.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(ClientBaseConfiguration)

protected PredictionServiceClient(ClientBase.ClientBaseConfiguration configuration)

Protected constructor to allow creation of configured clients.

Parameter
Name	Description
configuration	ClientBaseClientBaseConfiguration The client configuration.

Methods

CreateIAMPolicyClient()

public virtual IAMPolicy.IAMPolicyClient CreateIAMPolicyClient()

Creates a new instance of IAMPolicy.IAMPolicyClient using the same call invoker as this client.

Returns
Type	Description
IAMPolicyIAMPolicyClient	A new IAMPolicy.IAMPolicyClient for the same target as this client.

CreateLocationsClient()

public virtual Locations.LocationsClient CreateLocationsClient()

Creates a new instance of Locations.LocationsClient using the same call invoker as this client.

Returns
Type	Description
LocationsLocationsClient	A new Locations.LocationsClient for the same target as this client.

Explain(ExplainRequest, CallOptions)

public virtual ExplainResponse Explain(ExplainRequest request, CallOptions options)

Perform an online explanation.

If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified, the corresponding DeployModel must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is not specified, all DeployedModels must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. Only deployed AutoML tabular Models have explanation_spec.

Parameters
Name	Description
request	ExplainRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
ExplainResponse	The response received from the server.

Explain(ExplainRequest, Metadata, DateTime?, CancellationToken)

public virtual ExplainResponse Explain(ExplainRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online explanation.

If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified, the corresponding DeployModel must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is not specified, all DeployedModels must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. Only deployed AutoML tabular Models have explanation_spec.

Parameters
Name	Description
request	ExplainRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	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
ExplainResponse	The response received from the server.

ExplainAsync(ExplainRequest, CallOptions)

public virtual AsyncUnaryCall<ExplainResponse> ExplainAsync(ExplainRequest request, CallOptions options)

Perform an online explanation.

If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified, the corresponding DeployModel must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is not specified, all DeployedModels must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. Only deployed AutoML tabular Models have explanation_spec.

Parameters
Name	Description
request	ExplainRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
AsyncUnaryCallExplainResponse	The call object.

ExplainAsync(ExplainRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<ExplainResponse> ExplainAsync(ExplainRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online explanation.

If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is specified, the corresponding DeployModel must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. If [deployed_model_id][google.cloud.aiplatform.v1.ExplainRequest.deployed_model_id] is not specified, all DeployedModels must have [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec] populated. Only deployed AutoML tabular Models have explanation_spec.

Parameters
Name	Description
request	ExplainRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	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
AsyncUnaryCallExplainResponse	The call object.

NewInstance(ClientBaseConfiguration)

protected override PredictionService.PredictionServiceClient NewInstance(ClientBase.ClientBaseConfiguration configuration)

Creates a new instance of client from given ClientBaseConfiguration.

Parameter
Name	Description
configuration	ClientBaseClientBaseConfiguration

Returns
Type	Description
PredictionServicePredictionServiceClient

Overrides

Grpc.Core.ClientBase<Google.Cloud.AIPlatform.V1.PredictionService.PredictionServiceClient>.NewInstance(Grpc.Core.ClientBase.ClientBaseConfiguration)

Predict(PredictRequest, CallOptions)

public virtual PredictResponse Predict(PredictRequest request, CallOptions options)

Perform an online prediction.

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, DateTime?, CancellationToken)

public virtual PredictResponse Predict(PredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online prediction.

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	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.

Parameters
Name	Description
request	PredictRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
AsyncUnaryCallPredictResponse	The call object.

PredictAsync(PredictRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<PredictResponse> PredictAsync(PredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online prediction.

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	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
AsyncUnaryCallPredictResponse	The call object.

RawPredict(RawPredictRequest, CallOptions)

public virtual HttpBody RawPredict(RawPredictRequest request, CallOptions options)

Perform an online prediction with an arbitrary HTTP payload.

The response includes the following HTTP headers:

• X-Vertex-AI-Endpoint-Id: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction.

• X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction.

Parameters
Name	Description
request	RawPredictRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
HttpBody	The response received from the server.

RawPredict(RawPredictRequest, Metadata, DateTime?, CancellationToken)

public virtual HttpBody RawPredict(RawPredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online prediction with an arbitrary HTTP payload.

The response includes the following HTTP headers:

• X-Vertex-AI-Endpoint-Id: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction.

• X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction.

Parameters
Name	Description
request	RawPredictRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	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
HttpBody	The response received from the server.

RawPredictAsync(RawPredictRequest, CallOptions)

public virtual AsyncUnaryCall<HttpBody> RawPredictAsync(RawPredictRequest request, CallOptions options)

Perform an online prediction with an arbitrary HTTP payload.

The response includes the following HTTP headers:

• X-Vertex-AI-Endpoint-Id: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction.

• X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction.

Parameters
Name	Description
request	RawPredictRequest The request to send to the server.
options	CallOptions The options for the call.

Returns
Type	Description
AsyncUnaryCallHttpBody	The call object.

RawPredictAsync(RawPredictRequest, Metadata, DateTime?, CancellationToken)

public virtual AsyncUnaryCall<HttpBody> RawPredictAsync(RawPredictRequest request, Metadata headers = null, DateTime? deadline = null, CancellationToken cancellationToken = default)

Perform an online prediction with an arbitrary HTTP payload.

The response includes the following HTTP headers:

• X-Vertex-AI-Endpoint-Id: ID of the [Endpoint][google.cloud.aiplatform.v1.Endpoint] that served this prediction.

• X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] that served this prediction.

Parameters
Name	Description
request	RawPredictRequest The request to send to the server.
headers	Metadata The initial metadata to send with the call. This parameter is optional.
deadline	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
AsyncUnaryCallHttpBody	The call object.