Package com.google.cloud.aiplatform.v1

Class Explanation.Builder

  • All Implemented Interfaces:
    ExplanationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    Explanation
    public static final class Explanation.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<Explanation.Builder>
implements ExplanationOrBuilder
     Explanation of a prediction (provided in
 [PredictResponse.predictions][google.cloud.aiplatform.v1.PredictResponse.predictions])
 produced by the Model on a given
 [instance][google.cloud.aiplatform.v1.ExplainRequest.instances].
    Protobuf type google.cloud.aiplatform.v1.Explanation

    • 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<Explanation.Builder>

      • clear

        public Explanation.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<Explanation.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<Explanation.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public Explanation.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<Explanation.Builder>

      • setField

        public Explanation.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<Explanation.Builder>

      • clearField

        public Explanation.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<Explanation.Builder>

      • clearOneof

        public Explanation.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<Explanation.Builder>

      • setRepeatedField

        public Explanation.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<Explanation.Builder>

      • addRepeatedField

        public Explanation.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<Explanation.Builder>

      • mergeFrom

        public Explanation.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<Explanation.Builder>

      • isInitialized

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

      • mergeFrom

        public Explanation.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<Explanation.Builder>
        Throws:
        IOException

      • getAttributionsList

        public List<Attribution> getAttributionsList()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getAttributionsList in interface ExplanationOrBuilder

      • getAttributionsCount

        public int getAttributionsCount()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getAttributionsCount in interface ExplanationOrBuilder

      • getAttributions

        public Attribution getAttributions​(int index)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getAttributions in interface ExplanationOrBuilder

      • setAttributions

        public Explanation.Builder setAttributions​(int index,
                                           Attribution value)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • setAttributions

        public Explanation.Builder setAttributions​(int index,
                                           Attribution.Builder builderForValue)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAttributions

        public Explanation.Builder addAttributions​(Attribution value)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAttributions

        public Explanation.Builder addAttributions​(int index,
                                           Attribution value)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAttributions

        public Explanation.Builder addAttributions​(Attribution.Builder builderForValue)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAttributions

        public Explanation.Builder addAttributions​(int index,
                                           Attribution.Builder builderForValue)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAllAttributions

        public Explanation.Builder addAllAttributions​(Iterable<? extends Attribution> values)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • clearAttributions

        public Explanation.Builder clearAttributions()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • removeAttributions

        public Explanation.Builder removeAttributions​(int index)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getAttributionsBuilder

        public Attribution.Builder getAttributionsBuilder​(int index)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getAttributionsOrBuilder

        public AttributionOrBuilder getAttributionsOrBuilder​(int index)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getAttributionsOrBuilder in interface ExplanationOrBuilder

      • getAttributionsOrBuilderList

        public List<? extends AttributionOrBuilder> getAttributionsOrBuilderList()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getAttributionsOrBuilderList in interface ExplanationOrBuilder

      • addAttributionsBuilder

        public Attribution.Builder addAttributionsBuilder()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAttributionsBuilder

        public Attribution.Builder addAttributionsBuilder​(int index)
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getAttributionsBuilderList

        public List<Attribution.Builder> getAttributionsBuilderList()
         Output only. Feature attributions grouped by predicted outputs.

 For Models that predict only one output, such as regression Models that
 predict only one score, there is only one attibution that explains the
 predicted output. For Models that predict multiple outputs, such as
 multiclass Models that predict multiple classes, each element explains one
 specific item.
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 can be used to identify which output this attribution is explaining.

 If users set
 [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k],
 the attributions are sorted by
 [instance_output_value][Attributions.instance_output_value] in descending
 order. If
 [ExplanationParameters.output_indices][google.cloud.aiplatform.v1.ExplanationParameters.output_indices]
 is specified, the attributions are stored by
 [Attribution.output_index][google.cloud.aiplatform.v1.Attribution.output_index]
 in the same order as they appear in the output_indices.
        repeated .google.cloud.aiplatform.v1.Attribution attributions = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getNeighborsList

        public List<Neighbor> getNeighborsList()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNeighborsList in interface ExplanationOrBuilder

      • getNeighborsCount

        public int getNeighborsCount()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNeighborsCount in interface ExplanationOrBuilder

      • getNeighbors

        public Neighbor getNeighbors​(int index)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNeighbors in interface ExplanationOrBuilder

      • setNeighbors

        public Explanation.Builder setNeighbors​(int index,
                                        Neighbor value)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • setNeighbors

        public Explanation.Builder setNeighbors​(int index,
                                        Neighbor.Builder builderForValue)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addNeighbors

        public Explanation.Builder addNeighbors​(Neighbor value)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addNeighbors

        public Explanation.Builder addNeighbors​(int index,
                                        Neighbor value)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addNeighbors

        public Explanation.Builder addNeighbors​(Neighbor.Builder builderForValue)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addNeighbors

        public Explanation.Builder addNeighbors​(int index,
                                        Neighbor.Builder builderForValue)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addAllNeighbors

        public Explanation.Builder addAllNeighbors​(Iterable<? extends Neighbor> values)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • clearNeighbors

        public Explanation.Builder clearNeighbors()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • removeNeighbors

        public Explanation.Builder removeNeighbors​(int index)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getNeighborsBuilder

        public Neighbor.Builder getNeighborsBuilder​(int index)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getNeighborsOrBuilder

        public NeighborOrBuilder getNeighborsOrBuilder​(int index)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNeighborsOrBuilder in interface ExplanationOrBuilder

      • getNeighborsOrBuilderList

        public List<? extends NeighborOrBuilder> getNeighborsOrBuilderList()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNeighborsOrBuilderList in interface ExplanationOrBuilder

      • addNeighborsBuilder

        public Neighbor.Builder addNeighborsBuilder()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • addNeighborsBuilder

        public Neighbor.Builder addNeighborsBuilder​(int index)
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getNeighborsBuilderList

        public List<Neighbor.Builder> getNeighborsBuilderList()
         Output only. List of the nearest neighbors for example-based explanations.

 For models deployed with the examples explanations feature enabled, the
 attributions field is empty and instead the neighbors field is populated.
        repeated .google.cloud.aiplatform.v1.Neighbor neighbors = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • setUnknownFields

        public final Explanation.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<Explanation.Builder>

      • mergeUnknownFields

        public final Explanation.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<Explanation.Builder>