Package com.google.cloud.aiplatform.v1beta1

Class 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.GeneratedMessageV3.Builder<ExplainRequest.Builder>
implements ExplainRequestOrBuilder
     Request message for
 [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].
    Protobuf type google.cloud.aiplatform.v1beta1.ExplainRequest

    • Method Detail

      • getDescriptor

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

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.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.GeneratedMessageV3.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.GeneratedMessageV3.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

      • clone

        public ExplainRequest.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • setField

        public ExplainRequest.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                       Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • clearField

        public ExplainRequest.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • clearOneof

        public ExplainRequest.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • setRepeatedField

        public ExplainRequest.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               int index,
                                               Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • addRepeatedField

        public ExplainRequest.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                               Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.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>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.DeployedModel.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

      • setExplanationSpecOverride

        public ExplainRequest.Builder setExplanationSpecOverride​(ExplanationSpecOverride.Builder builderForValue)
         If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

      • mergeExplanationSpecOverride

        public ExplainRequest.Builder mergeExplanationSpecOverride​(ExplanationSpecOverride value)
         If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

      • clearExplanationSpecOverride

        public ExplainRequest.Builder clearExplanationSpecOverride()
         If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

      • getExplanationSpecOverrideBuilder

        public ExplanationSpecOverride.Builder getExplanationSpecOverrideBuilder()
         If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.ExplanationSpecOverride explanation_spec_override = 5;

      • getExplanationSpecOverrideOrBuilder

        public ExplanationSpecOverrideOrBuilder getExplanationSpecOverrideOrBuilder()
         If specified, overrides the
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.Endpoint.traffic_split].
        string deployed_model_id = 3;
        Parameters:
        value - The bytes for deployedModelId to set.
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final ExplainRequest.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>

      • mergeUnknownFields

        public final ExplainRequest.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ExplainRequest.Builder>