/// <summary>
/// Perform an online prediction.
/// </summary>
/// <param name="endpoint">
/// Required. The name of the Endpoint requested to serve the prediction.
/// Format:
/// `projects/{project}/locations/{location}/endpoints/{endpoint}`
/// </param>
/// <param name="instances">
/// Required. The instances that are the input to the prediction call.
/// A DeployedModel may have an upper limit on the number of instances it
/// supports per request, and when it is exceeded the prediction call errors
/// in case of AutoML Models, or, in case of customer created Models, the
/// behaviour is as documented by that Model.
/// The schema of any single instance may be specified via Endpoint's
/// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
/// </param>
/// <param name="parameters">
/// The parameters that govern the prediction. The schema of the parameters may
/// be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
/// </param>
/// <param name="callSettings">If not null, applies overrides to this RPC call.</param>
/// <returns>A Task containing the RPC response.</returns>
public virtual stt::Task <PredictResponse> PredictAsync(EndpointName endpoint, scg::IEnumerable <wkt::Value> instances, wkt::Value parameters, gaxgrpc::CallSettings callSettings = null) =>
PredictAsync(new PredictRequest
{
EndpointAsEndpointName = gax::GaxPreconditions.CheckNotNull(endpoint, nameof(endpoint)),
Instances =
{
gax::GaxPreconditions.CheckNotNull(instances, nameof(instances)),
},
Parameters = parameters,
}, callSettings);
/// <summary>
/// Perform an online prediction.
/// </summary>
/// <param name="endpoint">
/// Required. The name of the Endpoint requested to serve the prediction.
/// Format:
/// `projects/{project}/locations/{location}/endpoints/{endpoint}`
/// </param>
/// <param name="instances">
/// Required. The instances that are the input to the prediction call.
/// A DeployedModel may have an upper limit on the number of instances it
/// supports per request, and when it is exceeded the prediction call errors
/// in case of AutoML Models, or, in case of customer created Models, the
/// behaviour is as documented by that Model.
/// The schema of any single instance may be specified via Endpoint's
/// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
/// </param>
/// <param name="parameters">
/// The parameters that govern the prediction. The schema of the parameters may
/// be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
/// </param>
/// <param name="cancellationToken">A <see cref="st::CancellationToken"/> to use for this RPC.</param>
/// <returns>A Task containing the RPC response.</returns>
public virtual stt::Task <PredictResponse> PredictAsync(EndpointName endpoint, scg::IEnumerable <wkt::Value> instances, wkt::Value parameters, st::CancellationToken cancellationToken) =>
PredictAsync(endpoint, instances, parameters, gaxgrpc::CallSettings.FromCancellationToken(cancellationToken));
/// <summary>
/// Perform an online prediction.
/// </summary>
/// <param name="endpoint">
/// Required. The name of the Endpoint requested to serve the prediction.
/// Format:
/// `projects/{project}/locations/{location}/endpoints/{endpoint}`
/// </param>
/// <param name="instances">
/// Required. The instances that are the input to the prediction call.
/// A DeployedModel may have an upper limit on the number of instances it
/// supports per request, and when it is exceeded the prediction call errors
/// in case of AutoML Models, or, in case of customer created Models, the
/// behaviour is as documented by that Model.
/// The schema of any single instance may be specified via Endpoint's
/// DeployedModels' [Model's][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
/// </param>
/// <param name="parameters">
/// The parameters that govern the prediction. The schema of the parameters may
/// be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model]
/// [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
/// [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
/// </param>
/// <param name="callSettings">If not null, applies overrides to this RPC call.</param>
/// <returns>The RPC response.</returns>
public virtual PredictResponse Predict(string endpoint, scg::IEnumerable <wkt::Value> instances, wkt::Value parameters, gaxgrpc::CallSettings callSettings = null) =>
Predict(new PredictRequest
{
Endpoint = gax::GaxPreconditions.CheckNotNullOrEmpty(endpoint, nameof(endpoint)),
Instances =
{
gax::GaxPreconditions.CheckNotNull(instances, nameof(instances)),
},
Parameters = parameters,
}, callSettings);