Package com.google.cloud.aiplatform.v1beta1

Class Attribution.Builder

  • All Implemented Interfaces:
    AttributionOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    Attribution
    public static final class Attribution.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>
implements AttributionOrBuilder
     Attribution that explains a particular prediction output.
    Protobuf type google.cloud.aiplatform.v1beta1.Attribution

    • 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<Attribution.Builder>

      • clear

        public Attribution.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<Attribution.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<Attribution.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public Attribution.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<Attribution.Builder>

      • setField

        public Attribution.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<Attribution.Builder>

      • clearField

        public Attribution.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<Attribution.Builder>

      • clearOneof

        public Attribution.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<Attribution.Builder>

      • setRepeatedField

        public Attribution.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<Attribution.Builder>

      • addRepeatedField

        public Attribution.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<Attribution.Builder>

      • mergeFrom

        public Attribution.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<Attribution.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>

      • mergeFrom

        public Attribution.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<Attribution.Builder>
        Throws:
        IOException

      • getBaselineOutputValue

        public double getBaselineOutputValue()
         Output only. Model predicted output if the input instance is constructed
 from the baselines of all the features defined in
 [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
 The field name of the output is determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model's predicted output has multiple dimensions (rank > 1), this is
 the value in the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].

 If there are multiple baselines, their output values are averaged.
        double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBaselineOutputValue in interface AttributionOrBuilder
        Returns:
        The baselineOutputValue.

      • setBaselineOutputValue

        public Attribution.Builder setBaselineOutputValue​(double value)
         Output only. Model predicted output if the input instance is constructed
 from the baselines of all the features defined in
 [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
 The field name of the output is determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model's predicted output has multiple dimensions (rank > 1), this is
 the value in the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].

 If there are multiple baselines, their output values are averaged.
        double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The baselineOutputValue to set.
        Returns:
        This builder for chaining.

      • clearBaselineOutputValue

        public Attribution.Builder clearBaselineOutputValue()
         Output only. Model predicted output if the input instance is constructed
 from the baselines of all the features defined in
 [ExplanationMetadata.inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].
 The field name of the output is determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model's predicted output has multiple dimensions (rank > 1), this is
 the value in the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].

 If there are multiple baselines, their output values are averaged.
        double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • getInstanceOutputValue

        public double getInstanceOutputValue()
         Output only. Model predicted output on the corresponding [explanation
 instance][ExplainRequest.instances]. The field name of the output is
 determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model predicted output has multiple dimensions, this is the value in
 the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getInstanceOutputValue in interface AttributionOrBuilder
        Returns:
        The instanceOutputValue.

      • setInstanceOutputValue

        public Attribution.Builder setInstanceOutputValue​(double value)
         Output only. Model predicted output on the corresponding [explanation
 instance][ExplainRequest.instances]. The field name of the output is
 determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model predicted output has multiple dimensions, this is the value in
 the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The instanceOutputValue to set.
        Returns:
        This builder for chaining.

      • clearInstanceOutputValue

        public Attribution.Builder clearInstanceOutputValue()
         Output only. Model predicted output on the corresponding [explanation
 instance][ExplainRequest.instances]. The field name of the output is
 determined by the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].

 If the Model predicted output has multiple dimensions, this is the value in
 the output located by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
        double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • hasFeatureAttributions

        public boolean hasFeatureAttributions()
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasFeatureAttributions in interface AttributionOrBuilder
        Returns:
        Whether the featureAttributions field is set.

      • getFeatureAttributions

        public com.google.protobuf.Value getFeatureAttributions()
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getFeatureAttributions in interface AttributionOrBuilder
        Returns:
        The featureAttributions.

      • setFeatureAttributions

        public Attribution.Builder setFeatureAttributions​(com.google.protobuf.Value value)
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • setFeatureAttributions

        public Attribution.Builder setFeatureAttributions​(com.google.protobuf.Value.Builder builderForValue)
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • mergeFeatureAttributions

        public Attribution.Builder mergeFeatureAttributions​(com.google.protobuf.Value value)
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • clearFeatureAttributions

        public Attribution.Builder clearFeatureAttributions()
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getFeatureAttributionsBuilder

        public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder()
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getFeatureAttributionsOrBuilder

        public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder()
         Output only. Attributions of each explained feature. Features are extracted
 from the [prediction
 instances][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 according to [explanation metadata for
 inputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.inputs].

 The value is a struct, whose keys are the name of the feature. The values
 are how much the feature in the
 [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances]
 contributed to the predicted result.

 The format of the value is determined by the feature's input format:

   * If the feature is a scalar value, the attribution value is a
     [floating number][google.protobuf.Value.number_value].

   * If the feature is an array of scalar values, the attribution value is
     an [array][google.protobuf.Value.list_value].

   * If the feature is a struct, the attribution value is a
     [struct][google.protobuf.Value.struct_value]. The keys in the
     attribution value struct are the same as the keys in the feature
     struct. The formats of the values in the attribution struct are
     determined by the formats of the values in the feature struct.

 The
 [ExplanationMetadata.feature_attributions_schema_uri][google.cloud.aiplatform.v1beta1.ExplanationMetadata.feature_attributions_schema_uri]
 field, pointed to by the
 [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] field of
 the
 [Endpoint.deployed_models][google.cloud.aiplatform.v1beta1.Endpoint.deployed_models]
 object, points to the schema file that describes the features and their
 attribution values (if it is populated).
        .google.protobuf.Value feature_attributions = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getFeatureAttributionsOrBuilder in interface AttributionOrBuilder

      • getOutputIndexList

        public List<Integer> getOutputIndexList()
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputIndexList in interface AttributionOrBuilder
        Returns:
        A list containing the outputIndex.

      • getOutputIndexCount

        public int getOutputIndexCount()
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputIndexCount in interface AttributionOrBuilder
        Returns:
        The count of outputIndex.

      • getOutputIndex

        public int getOutputIndex​(int index)
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputIndex in interface AttributionOrBuilder
        Parameters:
        index - The index of the element to return.
        Returns:
        The outputIndex at the given index.

      • setOutputIndex

        public Attribution.Builder setOutputIndex​(int index,
                                          int value)
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        index - The index to set the value at.
        value - The outputIndex to set.
        Returns:
        This builder for chaining.

      • addOutputIndex

        public Attribution.Builder addOutputIndex​(int value)
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The outputIndex to add.
        Returns:
        This builder for chaining.

      • addAllOutputIndex

        public Attribution.Builder addAllOutputIndex​(Iterable<? extends Integer> values)
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        values - The outputIndex to add.
        Returns:
        This builder for chaining.

      • clearOutputIndex

        public Attribution.Builder clearOutputIndex()
         Output only. The index that locates the explained prediction output.

 If the prediction output is a scalar value, output_index is not populated.
 If the prediction output has multiple dimensions, the length of the
 output_index list is the same as the number of dimensions of the output.
 The i-th element in output_index is the element index of the i-th dimension
 of the output vector. Indices start from 0.
        repeated int32 output_index = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • getOutputDisplayName

        public String getOutputDisplayName()
         Output only. The display name of the output identified by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
 For example, the predicted class name by a multi-classification Model.

 This field is only populated iff the Model predicts display names as a
 separate field along with the explained output. The predicted display name
 must has the same shape of the explained output, and can be located using
 output_index.
        string output_display_name = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputDisplayName in interface AttributionOrBuilder
        Returns:
        The outputDisplayName.

      • getOutputDisplayNameBytes

        public com.google.protobuf.ByteString getOutputDisplayNameBytes()
         Output only. The display name of the output identified by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
 For example, the predicted class name by a multi-classification Model.

 This field is only populated iff the Model predicts display names as a
 separate field along with the explained output. The predicted display name
 must has the same shape of the explained output, and can be located using
 output_index.
        string output_display_name = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputDisplayNameBytes in interface AttributionOrBuilder
        Returns:
        The bytes for outputDisplayName.

      • setOutputDisplayName

        public Attribution.Builder setOutputDisplayName​(String value)
         Output only. The display name of the output identified by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
 For example, the predicted class name by a multi-classification Model.

 This field is only populated iff the Model predicts display names as a
 separate field along with the explained output. The predicted display name
 must has the same shape of the explained output, and can be located using
 output_index.
        string output_display_name = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The outputDisplayName to set.
        Returns:
        This builder for chaining.

      • clearOutputDisplayName

        public Attribution.Builder clearOutputDisplayName()
         Output only. The display name of the output identified by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
 For example, the predicted class name by a multi-classification Model.

 This field is only populated iff the Model predicts display names as a
 separate field along with the explained output. The predicted display name
 must has the same shape of the explained output, and can be located using
 output_index.
        string output_display_name = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • setOutputDisplayNameBytes

        public Attribution.Builder setOutputDisplayNameBytes​(com.google.protobuf.ByteString value)
         Output only. The display name of the output identified by
 [output_index][google.cloud.aiplatform.v1beta1.Attribution.output_index].
 For example, the predicted class name by a multi-classification Model.

 This field is only populated iff the Model predicts display names as a
 separate field along with the explained output. The predicted display name
 must has the same shape of the explained output, and can be located using
 output_index.
        string output_display_name = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The bytes for outputDisplayName to set.
        Returns:
        This builder for chaining.

      • getApproximationError

        public double getApproximationError()
         Output only. Error of
 [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
 caused by approximation used in the explanation method. Lower value means
 more precise attributions.

 * For Sampled Shapley
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
 increasing
 [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
 might reduce the error.
 * For Integrated Gradients
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
 might reduce the error.
 * For [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
 might reduce the error.

 See [this introduction](/vertex-ai/docs/explainable-ai/overview)
 for more information.
        double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getApproximationError in interface AttributionOrBuilder
        Returns:
        The approximationError.

      • setApproximationError

        public Attribution.Builder setApproximationError​(double value)
         Output only. Error of
 [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
 caused by approximation used in the explanation method. Lower value means
 more precise attributions.

 * For Sampled Shapley
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
 increasing
 [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
 might reduce the error.
 * For Integrated Gradients
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
 might reduce the error.
 * For [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
 might reduce the error.

 See [this introduction](/vertex-ai/docs/explainable-ai/overview)
 for more information.
        double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The approximationError to set.
        Returns:
        This builder for chaining.

      • clearApproximationError

        public Attribution.Builder clearApproximationError()
         Output only. Error of
 [feature_attributions][google.cloud.aiplatform.v1beta1.Attribution.feature_attributions]
 caused by approximation used in the explanation method. Lower value means
 more precise attributions.

 * For Sampled Shapley
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.sampled_shapley_attribution],
 increasing
 [path_count][google.cloud.aiplatform.v1beta1.SampledShapleyAttribution.path_count]
 might reduce the error.
 * For Integrated Gradients
 [attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.integrated_gradients_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.IntegratedGradientsAttribution.step_count]
 might reduce the error.
 * For [XRAI
 attribution][google.cloud.aiplatform.v1beta1.ExplanationParameters.xrai_attribution],
 increasing
 [step_count][google.cloud.aiplatform.v1beta1.XraiAttribution.step_count]
 might reduce the error.

 See [this introduction](/vertex-ai/docs/explainable-ai/overview)
 for more information.
        double approximation_error = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • getOutputName

        public String getOutputName()
         Output only. Name of the explain output. Specified as the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
        string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputName in interface AttributionOrBuilder
        Returns:
        The outputName.

      • getOutputNameBytes

        public com.google.protobuf.ByteString getOutputNameBytes()
         Output only. Name of the explain output. Specified as the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
        string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputNameBytes in interface AttributionOrBuilder
        Returns:
        The bytes for outputName.

      • setOutputName

        public Attribution.Builder setOutputName​(String value)
         Output only. Name of the explain output. Specified as the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
        string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The outputName to set.
        Returns:
        This builder for chaining.

      • clearOutputName

        public Attribution.Builder clearOutputName()
         Output only. Name of the explain output. Specified as the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
        string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        This builder for chaining.

      • setOutputNameBytes

        public Attribution.Builder setOutputNameBytes​(com.google.protobuf.ByteString value)
         Output only. Name of the explain output. Specified as the key in
 [ExplanationMetadata.outputs][google.cloud.aiplatform.v1beta1.ExplanationMetadata.outputs].
        string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Parameters:
        value - The bytes for outputName to set.
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final Attribution.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<Attribution.Builder>

      • mergeUnknownFields

        public final Attribution.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<Attribution.Builder>