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.v1.Attribution| Modifier and Type | Method and Description |
|---|---|
Attribution.Builder |
addAllOutputIndex(Iterable<? extends Integer> values)
Output only.
|
Attribution.Builder |
addOutputIndex(int value)
Output only.
|
Attribution.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Attribution |
build() |
Attribution |
buildPartial() |
Attribution.Builder |
clear() |
Attribution.Builder |
clearApproximationError()
Output only.
|
Attribution.Builder |
clearBaselineOutputValue()
Output only.
|
Attribution.Builder |
clearFeatureAttributions()
Output only.
|
Attribution.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
Attribution.Builder |
clearInstanceOutputValue()
Output only.
|
Attribution.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
Attribution.Builder |
clearOutputDisplayName()
Output only.
|
Attribution.Builder |
clearOutputIndex()
Output only.
|
Attribution.Builder |
clearOutputName()
Output only.
|
Attribution.Builder |
clone() |
double |
getApproximationError()
Output only.
|
double |
getBaselineOutputValue()
Output only.
|
Attribution |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
com.google.protobuf.Value |
getFeatureAttributions()
Output only.
|
com.google.protobuf.Value.Builder |
getFeatureAttributionsBuilder()
Output only.
|
com.google.protobuf.ValueOrBuilder |
getFeatureAttributionsOrBuilder()
Output only.
|
double |
getInstanceOutputValue()
Output only.
|
String |
getOutputDisplayName()
Output only.
|
com.google.protobuf.ByteString |
getOutputDisplayNameBytes()
Output only.
|
int |
getOutputIndex(int index)
Output only.
|
int |
getOutputIndexCount()
Output only.
|
List<Integer> |
getOutputIndexList()
Output only.
|
String |
getOutputName()
Output only.
|
com.google.protobuf.ByteString |
getOutputNameBytes()
Output only.
|
boolean |
hasFeatureAttributions()
Output only.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
Attribution.Builder |
mergeFeatureAttributions(com.google.protobuf.Value value)
Output only.
|
Attribution.Builder |
mergeFrom(Attribution other) |
Attribution.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
Attribution.Builder |
mergeFrom(com.google.protobuf.Message other) |
Attribution.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
Attribution.Builder |
setApproximationError(double value)
Output only.
|
Attribution.Builder |
setBaselineOutputValue(double value)
Output only.
|
Attribution.Builder |
setFeatureAttributions(com.google.protobuf.Value.Builder builderForValue)
Output only.
|
Attribution.Builder |
setFeatureAttributions(com.google.protobuf.Value value)
Output only.
|
Attribution.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Attribution.Builder |
setInstanceOutputValue(double value)
Output only.
|
Attribution.Builder |
setOutputDisplayName(String value)
Output only.
|
Attribution.Builder |
setOutputDisplayNameBytes(com.google.protobuf.ByteString value)
Output only.
|
Attribution.Builder |
setOutputIndex(int index,
int value)
Output only.
|
Attribution.Builder |
setOutputName(String value)
Output only.
|
Attribution.Builder |
setOutputNameBytes(com.google.protobuf.ByteString value)
Output only.
|
Attribution.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
Attribution.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic Attribution build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic Attribution buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic Attribution.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<Attribution.Builder>public Attribution.Builder mergeFrom(Attribution other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public Attribution.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<Attribution.Builder>IOExceptionpublic 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.v1.ExplanationMetadata.inputs]. The field name of the output is determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.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.v1.Attribution.output_index]. If there are multiple baselines, their output values are averaged.
double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getBaselineOutputValue in interface AttributionOrBuilderpublic 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.v1.ExplanationMetadata.inputs]. The field name of the output is determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.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.v1.Attribution.output_index]. If there are multiple baselines, their output values are averaged.
double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The baselineOutputValue to set.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.v1.ExplanationMetadata.inputs]. The field name of the output is determined by the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.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.v1.Attribution.output_index]. If there are multiple baselines, their output values are averaged.
double baseline_output_value = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];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.v1.ExplanationMetadata.outputs]. If the Model predicted output has multiple dimensions, this is the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];getInstanceOutputValue in interface AttributionOrBuilderpublic 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.v1.ExplanationMetadata.outputs]. If the Model predicted output has multiple dimensions, this is the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The instanceOutputValue to set.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.v1.ExplanationMetadata.outputs]. If the Model predicted output has multiple dimensions, this is the value in the output located by [output_index][google.cloud.aiplatform.v1.Attribution.output_index].
double instance_output_value = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];public boolean hasFeatureAttributions()
Output only. Attributions of each explained feature. Features are extracted
from the [prediction
instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
hasFeatureAttributions in interface AttributionOrBuilderpublic com.google.protobuf.Value getFeatureAttributions()
Output only. Attributions of each explained feature. Features are extracted
from the [prediction
instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
getFeatureAttributions in interface AttributionOrBuilderpublic 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.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
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.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
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.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
public Attribution.Builder clearFeatureAttributions()
Output only. Attributions of each explained feature. Features are extracted
from the [prediction
instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
public com.google.protobuf.Value.Builder getFeatureAttributionsBuilder()
Output only. Attributions of each explained feature. Features are extracted
from the [prediction
instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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];
public com.google.protobuf.ValueOrBuilder getFeatureAttributionsOrBuilder()
Output only. Attributions of each explained feature. Features are extracted
from the [prediction
instances][google.cloud.aiplatform.v1.ExplainRequest.instances] according
to [explanation metadata for
inputs][google.cloud.aiplatform.v1.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.v1.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.v1.ExplanationMetadata.feature_attributions_schema_uri]
field, pointed to by the
[ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] field of the
[Endpoint.deployed_models][google.cloud.aiplatform.v1.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 in interface AttributionOrBuilderpublic 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];getOutputIndexList in interface AttributionOrBuilderpublic 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];getOutputIndexCount in interface AttributionOrBuilderpublic 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];getOutputIndex in interface AttributionOrBuilderindex - The index of the element to return.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];index - The index to set the value at.value - The outputIndex to set.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];value - The outputIndex to add.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];values - The outputIndex to add.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];public String getOutputDisplayName()
Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.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];getOutputDisplayName in interface AttributionOrBuilderpublic com.google.protobuf.ByteString getOutputDisplayNameBytes()
Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.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];getOutputDisplayNameBytes in interface AttributionOrBuilderpublic Attribution.Builder setOutputDisplayName(String value)
Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.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];value - The outputDisplayName to set.public Attribution.Builder clearOutputDisplayName()
Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.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];public Attribution.Builder setOutputDisplayNameBytes(com.google.protobuf.ByteString value)
Output only. The display name of the output identified by [output_index][google.cloud.aiplatform.v1.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];value - The bytes for outputDisplayName to set.public double getApproximationError()
Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the explanation method. Lower value means more precise attributions. * For Sampled Shapley [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution], increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce the error. * For Integrated Gradients [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution], increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might reduce the error. * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], increasing [step_count][google.cloud.aiplatform.v1.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];getApproximationError in interface AttributionOrBuilderpublic Attribution.Builder setApproximationError(double value)
Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the explanation method. Lower value means more precise attributions. * For Sampled Shapley [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution], increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce the error. * For Integrated Gradients [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution], increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might reduce the error. * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], increasing [step_count][google.cloud.aiplatform.v1.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];value - The approximationError to set.public Attribution.Builder clearApproximationError()
Output only. Error of [feature_attributions][google.cloud.aiplatform.v1.Attribution.feature_attributions] caused by approximation used in the explanation method. Lower value means more precise attributions. * For Sampled Shapley [attribution][google.cloud.aiplatform.v1.ExplanationParameters.sampled_shapley_attribution], increasing [path_count][google.cloud.aiplatform.v1.SampledShapleyAttribution.path_count] might reduce the error. * For Integrated Gradients [attribution][google.cloud.aiplatform.v1.ExplanationParameters.integrated_gradients_attribution], increasing [step_count][google.cloud.aiplatform.v1.IntegratedGradientsAttribution.step_count] might reduce the error. * For [XRAI attribution][google.cloud.aiplatform.v1.ExplanationParameters.xrai_attribution], increasing [step_count][google.cloud.aiplatform.v1.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];public String getOutputName()
Output only. Name of the explain output. Specified as the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];getOutputName in interface AttributionOrBuilderpublic com.google.protobuf.ByteString getOutputNameBytes()
Output only. Name of the explain output. Specified as the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];getOutputNameBytes in interface AttributionOrBuilderpublic Attribution.Builder setOutputName(String value)
Output only. Name of the explain output. Specified as the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The outputName to set.public Attribution.Builder clearOutputName()
Output only. Name of the explain output. Specified as the key in [ExplanationMetadata.outputs][google.cloud.aiplatform.v1.ExplanationMetadata.outputs].
string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];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.v1.ExplanationMetadata.outputs].
string output_name = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for outputName to set.public final Attribution.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>public final Attribution.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Attribution.Builder>Copyright © 2024 Google LLC. All rights reserved.