Package com.google.cloud.aiplatform.v1

Class ExplainRequest.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder>
com.google.cloud.aiplatform.v1.ExplainRequest.Builder
All Implemented Interfaces:
ExplainRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
ExplainRequest
public static final class ExplainRequest.Builder extends com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder> implements ExplainRequestOrBuilder
 Request message for
 [PredictionService.Explain][google.cloud.aiplatform.v1.PredictionService.Explain].
Protobuf type google.cloud.aiplatform.v1.ExplainRequest

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder>

    • clear

      public ExplainRequest.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder>

    • getDefaultInstanceForType

      public ExplainRequest getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public ExplainRequest build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public ExplainRequest buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public ExplainRequest.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ExplainRequest.Builder>

    • mergeFrom

      public ExplainRequest.Builder mergeFrom(ExplainRequest other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ExplainRequest.Builder>

    • mergeFrom

      public ExplainRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ExplainRequest.Builder>
      Throws:
      IOException

    • getEndpoint

      public String getEndpoint()
       Required. The name of the Endpoint requested to serve the explanation.
 Format:
 `projects/{project}/locations/{location}/endpoints/{endpoint}`
      string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getEndpoint in interface ExplainRequestOrBuilder
      Returns:
      The endpoint.

    • getEndpointBytes

      public com.google.protobuf.ByteString getEndpointBytes()
       Required. The name of the Endpoint requested to serve the explanation.
 Format:
 `projects/{project}/locations/{location}/endpoints/{endpoint}`
      string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Specified by:
      getEndpointBytes in interface ExplainRequestOrBuilder
      Returns:
      The bytes for endpoint.

    • setEndpoint

      public ExplainRequest.Builder setEndpoint(String value)
       Required. The name of the Endpoint requested to serve the explanation.
 Format:
 `projects/{project}/locations/{location}/endpoints/{endpoint}`
      string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The endpoint to set.
      Returns:
      This builder for chaining.

    • clearEndpoint

      public ExplainRequest.Builder clearEndpoint()
       Required. The name of the Endpoint requested to serve the explanation.
 Format:
 `projects/{project}/locations/{location}/endpoints/{endpoint}`
      string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Returns:
      This builder for chaining.

    • setEndpointBytes

      public ExplainRequest.Builder setEndpointBytes(com.google.protobuf.ByteString value)
       Required. The name of the Endpoint requested to serve the explanation.
 Format:
 `projects/{project}/locations/{location}/endpoints/{endpoint}`
      string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
      Parameters:
      value - The bytes for endpoint to set.
      Returns:
      This builder for chaining.

    • getInstancesList

      public List<com.google.protobuf.Value> getInstancesList()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInstancesList in interface ExplainRequestOrBuilder

    • getInstancesCount

      public int getInstancesCount()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInstancesCount in interface ExplainRequestOrBuilder

    • getInstances

      public com.google.protobuf.Value getInstances(int index)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInstances in interface ExplainRequestOrBuilder

    • setInstances

      public ExplainRequest.Builder setInstances(int index, com.google.protobuf.Value value)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • setInstances

      public ExplainRequest.Builder setInstances(int index, com.google.protobuf.Value.Builder builderForValue)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addInstances

      public ExplainRequest.Builder addInstances(com.google.protobuf.Value value)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addInstances

      public ExplainRequest.Builder addInstances(int index, com.google.protobuf.Value value)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addInstances

      public ExplainRequest.Builder addInstances(com.google.protobuf.Value.Builder builderForValue)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addInstances

      public ExplainRequest.Builder addInstances(int index, com.google.protobuf.Value.Builder builderForValue)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addAllInstances

      public ExplainRequest.Builder addAllInstances(Iterable<? extends com.google.protobuf.Value> values)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • clearInstances

      public ExplainRequest.Builder clearInstances()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • removeInstances

      public ExplainRequest.Builder removeInstances(int index)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • getInstancesBuilder

      public com.google.protobuf.Value.Builder getInstancesBuilder(int index)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • getInstancesOrBuilder

      public com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInstancesOrBuilder in interface ExplainRequestOrBuilder

    • getInstancesOrBuilderList

      public List<? extends com.google.protobuf.ValueOrBuilder> getInstancesOrBuilderList()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInstancesOrBuilderList in interface ExplainRequestOrBuilder

    • addInstancesBuilder

      public com.google.protobuf.Value.Builder addInstancesBuilder()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • addInstancesBuilder

      public com.google.protobuf.Value.Builder addInstancesBuilder(int index)
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • getInstancesBuilderList

      public List<com.google.protobuf.Value.Builder> getInstancesBuilderList()
       Required. The instances that are the input to the explanation call.
 A DeployedModel may have an upper limit on the number of instances it
 supports per request, and when it is exceeded the explanation 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].
      repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];

    • hasParameters

      public boolean hasParameters()
       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].
      .google.protobuf.Value parameters = 4;
      Specified by:
      hasParameters in interface ExplainRequestOrBuilder
      Returns:
      Whether the parameters field is set.

    • getParameters

      public com.google.protobuf.Value getParameters()
       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].
      .google.protobuf.Value parameters = 4;
      Specified by:
      getParameters in interface ExplainRequestOrBuilder
      Returns:
      The parameters.

    • setParameters

      public ExplainRequest.Builder setParameters(com.google.protobuf.Value value)
       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].
      .google.protobuf.Value parameters = 4;

    • setParameters

      public ExplainRequest.Builder setParameters(com.google.protobuf.Value.Builder builderForValue)
       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].
      .google.protobuf.Value parameters = 4;

    • mergeParameters

      public ExplainRequest.Builder mergeParameters(com.google.protobuf.Value value)
       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].
      .google.protobuf.Value parameters = 4;

    • clearParameters

      public ExplainRequest.Builder clearParameters()
       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].
      .google.protobuf.Value parameters = 4;

    • getParametersBuilder

      public com.google.protobuf.Value.Builder getParametersBuilder()
       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].
      .google.protobuf.Value parameters = 4;

    • getParametersOrBuilder

      public com.google.protobuf.ValueOrBuilder getParametersOrBuilder()
       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].
      .google.protobuf.Value parameters = 4;
      Specified by:
      getParametersOrBuilder in interface ExplainRequestOrBuilder

    • hasExplanationSpecOverride

      public boolean hasExplanationSpecOverride()
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;
      Specified by:
      hasExplanationSpecOverride in interface ExplainRequestOrBuilder
      Returns:
      Whether the explanationSpecOverride field is set.

    • getExplanationSpecOverride

      public ExplanationSpecOverride getExplanationSpecOverride()
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;
      Specified by:
      getExplanationSpecOverride in interface ExplainRequestOrBuilder
      Returns:
      The explanationSpecOverride.

    • setExplanationSpecOverride

      public ExplainRequest.Builder setExplanationSpecOverride(ExplanationSpecOverride value)
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;

    • setExplanationSpecOverride

      public ExplainRequest.Builder setExplanationSpecOverride(ExplanationSpecOverride.Builder builderForValue)
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;

    • mergeExplanationSpecOverride

      public ExplainRequest.Builder mergeExplanationSpecOverride(ExplanationSpecOverride value)
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;

    • clearExplanationSpecOverride

      public ExplainRequest.Builder clearExplanationSpecOverride()
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;

    • getExplanationSpecOverrideBuilder

      public ExplanationSpecOverride.Builder getExplanationSpecOverrideBuilder()
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;

    • getExplanationSpecOverrideOrBuilder

      public ExplanationSpecOverrideOrBuilder getExplanationSpecOverrideOrBuilder()
       If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 of the DeployedModel. Can be used for explaining prediction results with
 different configurations, such as:
 - Explaining top-5 predictions results as opposed to top-1;
 - Increasing path count or step count of the attribution methods to reduce
 approximate errors;
 - Using different baselines for explaining the prediction results.
      .google.cloud.aiplatform.v1.ExplanationSpecOverride explanation_spec_override = 5;
      Specified by:
      getExplanationSpecOverrideOrBuilder in interface ExplainRequestOrBuilder

    • getDeployedModelId

      public String getDeployedModelId()
       If specified, this ExplainRequest will be served by the chosen
 DeployedModel, overriding
 [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      string deployed_model_id = 3;
      Specified by:
      getDeployedModelId in interface ExplainRequestOrBuilder
      Returns:
      The deployedModelId.

    • getDeployedModelIdBytes

      public com.google.protobuf.ByteString getDeployedModelIdBytes()
       If specified, this ExplainRequest will be served by the chosen
 DeployedModel, overriding
 [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      string deployed_model_id = 3;
      Specified by:
      getDeployedModelIdBytes in interface ExplainRequestOrBuilder
      Returns:
      The bytes for deployedModelId.

    • setDeployedModelId

      public ExplainRequest.Builder setDeployedModelId(String value)
       If specified, this ExplainRequest will be served by the chosen
 DeployedModel, overriding
 [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      string deployed_model_id = 3;
      Parameters:
      value - The deployedModelId to set.
      Returns:
      This builder for chaining.

    • clearDeployedModelId

      public ExplainRequest.Builder clearDeployedModelId()
       If specified, this ExplainRequest will be served by the chosen
 DeployedModel, overriding
 [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      string deployed_model_id = 3;
      Returns:
      This builder for chaining.

    • setDeployedModelIdBytes

      public ExplainRequest.Builder setDeployedModelIdBytes(com.google.protobuf.ByteString value)
       If specified, this ExplainRequest will be served by the chosen
 DeployedModel, overriding
 [Endpoint.traffic_split][google.cloud.aiplatform.v1.Endpoint.traffic_split].
      string deployed_model_id = 3;
      Parameters:
      value - The bytes for deployedModelId to set.
      Returns:
      This builder for chaining.