Class PredictionService.PredictionServiceClient (1.2.0)

public class PredictionServiceClient : ClientBase<PredictionService.PredictionServiceClient>

Client for PredictionService

Inheritance

Object > ClientBase > ClientBase<PredictionService.PredictionServiceClient> > PredictionService.PredictionServiceClient

Namespace

Google.Cloud.AIPlatform.V1

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
NameDescription
callInvokerCallInvoker

The callInvoker to use to make remote calls.

PredictionServiceClient(ChannelBase)

public PredictionServiceClient(ChannelBase channel)

Creates a new client for PredictionService

Parameter
NameDescription
channelChannelBase

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
NameDescription
configurationClientBase.ClientBaseConfiguration

The client configuration.

Methods

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
NameDescription
requestExplainRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
ExplainResponse

The response received from the server.

Explain(ExplainRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

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
NameDescription
requestExplainRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
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
NameDescription
requestExplainRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCall<ExplainResponse>

The call object.

ExplainAsync(ExplainRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

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
NameDescription
requestExplainRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCall<ExplainResponse>

The call object.

NewInstance(ClientBase.ClientBaseConfiguration)

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

Creates a new instance of client from given ClientBaseConfiguration.

Parameter
NameDescription
configurationClientBase.ClientBaseConfiguration
Returns
TypeDescription
PredictionService.PredictionServiceClient
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
NameDescription
requestPredictRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
PredictResponse

The response received from the server.

Predict(PredictRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

Perform an online prediction.

Parameters
NameDescription
requestPredictRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
PredictResponse

The response received from the server.

PredictAsync(PredictRequest, CallOptions)

public virtual AsyncUnaryCall<PredictResponse> PredictAsync(PredictRequest request, CallOptions options)

Perform an online prediction.

Parameters
NameDescription
requestPredictRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCall<PredictResponse>

The call object.

PredictAsync(PredictRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

Perform an online prediction.

Parameters
NameDescription
requestPredictRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCall<PredictResponse>

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
NameDescription
requestRawPredictRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
HttpBody

The response received from the server.

RawPredict(RawPredictRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

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
NameDescription
requestRawPredictRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
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
NameDescription
requestRawPredictRequest

The request to send to the server.

optionsCallOptions

The options for the call.

Returns
TypeDescription
AsyncUnaryCall<HttpBody>

The call object.

RawPredictAsync(RawPredictRequest, Metadata, Nullable<DateTime>, CancellationToken)

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

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
NameDescription
requestRawPredictRequest

The request to send to the server.

headersMetadata

The initial metadata to send with the call. This parameter is optional.

deadlineNullable<DateTime>

An optional deadline for the call. The call will be cancelled if deadline is hit.

cancellationTokenCancellationToken

An optional token for canceling the call.

Returns
TypeDescription
AsyncUnaryCall<HttpBody>

The call object.