Package com.google.cloud.aiplatform.v1
Class Explanation
java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.aiplatform.v1.Explanation
- All Implemented Interfaces:
ExplanationOrBuilder,com.google.protobuf.Message,com.google.protobuf.MessageLite,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Serializable
@Generated
public final class Explanation
extends com.google.protobuf.GeneratedMessage
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- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classExplanation 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].Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessage
com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT, BuilderT>>, com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.FieldAccessorTable, com.google.protobuf.GeneratedMessage.GeneratedExtension<ContainingT extends com.google.protobuf.Message, T extends Object>, com.google.protobuf.GeneratedMessage.UnusedPrivateParameter Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessage
com.google.protobuf.AbstractMessage.BuilderParentNested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intstatic final intFields inherited from class com.google.protobuf.GeneratedMessage
alwaysUseFieldBuilders, loggedPre22TypeNames, unknownFieldsFields inherited from class com.google.protobuf.AbstractMessage
memoizedSizeFields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode -
Method Summary
Modifier and TypeMethodDescriptionbooleangetAttributions(int index) Output only.intOutput only.Output only.getAttributionsOrBuilder(int index) Output only.List<? extends AttributionOrBuilder>Output only.static Explanationstatic final com.google.protobuf.Descriptors.DescriptorgetNeighbors(int index) Output only.intOutput only.Output only.getNeighborsOrBuilder(int index) Output only.List<? extends NeighborOrBuilder>Output only.com.google.protobuf.Parser<Explanation>intinthashCode()protected com.google.protobuf.GeneratedMessage.FieldAccessorTablefinal booleanstatic Explanation.Builderstatic Explanation.BuildernewBuilder(Explanation prototype) protected Explanation.BuildernewBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) static ExplanationparseDelimitedFrom(InputStream input) static ExplanationparseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ExplanationparseFrom(byte[] data) static ExplanationparseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ExplanationparseFrom(com.google.protobuf.ByteString data) static ExplanationparseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ExplanationparseFrom(com.google.protobuf.CodedInputStream input) static ExplanationparseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ExplanationparseFrom(InputStream input) static ExplanationparseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ExplanationparseFrom(ByteBuffer data) static ExplanationparseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static com.google.protobuf.Parser<Explanation>parser()voidwriteTo(com.google.protobuf.CodedOutputStream output) Methods inherited from class com.google.protobuf.GeneratedMessage
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagMethods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashFields, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite
addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Field Details
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ATTRIBUTIONS_FIELD_NUMBER
public static final int ATTRIBUTIONS_FIELD_NUMBER- See Also:
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NEIGHBORS_FIELD_NUMBER
public static final int NEIGHBORS_FIELD_NUMBER- See Also:
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Method Details
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessage
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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. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][google.cloud.aiplatform.v1.Attribution.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:
getAttributionsListin interfaceExplanationOrBuilder
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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. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][google.cloud.aiplatform.v1.Attribution.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:
getAttributionsOrBuilderListin interfaceExplanationOrBuilder
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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. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][google.cloud.aiplatform.v1.Attribution.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:
getAttributionsCountin interfaceExplanationOrBuilder
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getAttributions
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. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][google.cloud.aiplatform.v1.Attribution.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:
getAttributionsin interfaceExplanationOrBuilder
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getAttributionsOrBuilder
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. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set [ExplanationParameters.top_k][google.cloud.aiplatform.v1.ExplanationParameters.top_k], the attributions are sorted by [instance_output_value][google.cloud.aiplatform.v1.Attribution.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:
getAttributionsOrBuilderin interfaceExplanationOrBuilder
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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:
getNeighborsListin interfaceExplanationOrBuilder
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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:
getNeighborsOrBuilderListin interfaceExplanationOrBuilder
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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:
getNeighborsCountin interfaceExplanationOrBuilder
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getNeighbors
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:
getNeighborsin interfaceExplanationOrBuilder
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getNeighborsOrBuilder
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:
getNeighborsOrBuilderin interfaceExplanationOrBuilder
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessage
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writeTo
- Specified by:
writeToin interfacecom.google.protobuf.MessageLite- Overrides:
writeToin classcom.google.protobuf.GeneratedMessage- Throws:
IOException
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getSerializedSize
public int getSerializedSize()- Specified by:
getSerializedSizein interfacecom.google.protobuf.MessageLite- Overrides:
getSerializedSizein classcom.google.protobuf.GeneratedMessage
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equals
- Specified by:
equalsin interfacecom.google.protobuf.Message- Overrides:
equalsin classcom.google.protobuf.AbstractMessage
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hashCode
public int hashCode()- Specified by:
hashCodein interfacecom.google.protobuf.Message- Overrides:
hashCodein classcom.google.protobuf.AbstractMessage
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parseFrom
public static Explanation parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Explanation parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Explanation parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Explanation parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Explanation parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Explanation parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
- Throws:
IOException
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parseFrom
public static Explanation parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseDelimitedFrom
- Throws:
IOException
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parseDelimitedFrom
public static Explanation parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseFrom
- Throws:
IOException
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parseFrom
public static Explanation parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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newBuilderForType
- Specified by:
newBuilderForTypein interfacecom.google.protobuf.Message- Specified by:
newBuilderForTypein interfacecom.google.protobuf.MessageLite
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newBuilder
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newBuilder
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toBuilder
- Specified by:
toBuilderin interfacecom.google.protobuf.Message- Specified by:
toBuilderin interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected Explanation.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) - Overrides:
newBuilderForTypein classcom.google.protobuf.AbstractMessage
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getDefaultInstance
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parser
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getParserForType
- Specified by:
getParserForTypein interfacecom.google.protobuf.Message- Specified by:
getParserForTypein interfacecom.google.protobuf.MessageLite- Overrides:
getParserForTypein classcom.google.protobuf.GeneratedMessage
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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