public static final class ModelEvaluation.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder> implements ModelEvaluationOrBuilder
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.Protobuf type
google.cloud.aiplatform.v1beta1.ModelEvaluation| Modifier and Type | Method and Description |
|---|---|
ModelEvaluation.Builder |
addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
addAllSliceDimensions(Iterable<String> values)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
ModelEvaluation.Builder |
addExplanationSpecs(int index,
ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
addExplanationSpecs(int index,
ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.ModelEvaluationExplanationSpec.Builder |
addExplanationSpecsBuilder()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.ModelEvaluationExplanationSpec.Builder |
addExplanationSpecsBuilder(int index)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelEvaluation.Builder |
addSliceDimensions(String value)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
ModelEvaluation.Builder |
addSliceDimensionsBytes(com.google.protobuf.ByteString value)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
ModelEvaluation |
build() |
ModelEvaluation |
buildPartial() |
ModelEvaluation.Builder |
clear() |
ModelEvaluation.Builder |
clearBiasConfigs()
Specify the configuration for bias detection.
|
ModelEvaluation.Builder |
clearCreateTime()
Output only.
|
ModelEvaluation.Builder |
clearDisplayName()
The display name of the ModelEvaluation.
|
ModelEvaluation.Builder |
clearExplanationSpecs()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
ModelEvaluation.Builder |
clearMetadata()
The metadata of the ModelEvaluation.
|
ModelEvaluation.Builder |
clearMetrics()
Evaluation metrics of the Model.
|
ModelEvaluation.Builder |
clearMetricsSchemaUri()
Points to a YAML file stored on Google Cloud Storage describing the
[metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
ModelEvaluation.
|
ModelEvaluation.Builder |
clearModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelEvaluation.Builder |
clearName()
Output only.
|
ModelEvaluation.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
ModelEvaluation.Builder |
clearSliceDimensions()
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
ModelEvaluation.Builder |
clone() |
ModelEvaluation.BiasConfig |
getBiasConfigs()
Specify the configuration for bias detection.
|
ModelEvaluation.BiasConfig.Builder |
getBiasConfigsBuilder()
Specify the configuration for bias detection.
|
ModelEvaluation.BiasConfigOrBuilder |
getBiasConfigsOrBuilder()
Specify the configuration for bias detection.
|
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.Timestamp.Builder |
getCreateTimeBuilder()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
ModelEvaluation |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
String |
getDisplayName()
The display name of the ModelEvaluation.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
The display name of the ModelEvaluation.
|
ModelEvaluation.ModelEvaluationExplanationSpec |
getExplanationSpecs(int index)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.ModelEvaluationExplanationSpec.Builder |
getExplanationSpecsBuilder(int index)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
List<ModelEvaluation.ModelEvaluationExplanationSpec.Builder> |
getExplanationSpecsBuilderList()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
int |
getExplanationSpecsCount()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
List<ModelEvaluation.ModelEvaluationExplanationSpec> |
getExplanationSpecsList()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder |
getExplanationSpecsOrBuilder(int index)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> |
getExplanationSpecsOrBuilderList()
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
com.google.protobuf.Value |
getMetadata()
The metadata of the ModelEvaluation.
|
com.google.protobuf.Value.Builder |
getMetadataBuilder()
The metadata of the ModelEvaluation.
|
com.google.protobuf.ValueOrBuilder |
getMetadataOrBuilder()
The metadata of the ModelEvaluation.
|
com.google.protobuf.Value |
getMetrics()
Evaluation metrics of the Model.
|
com.google.protobuf.Value.Builder |
getMetricsBuilder()
Evaluation metrics of the Model.
|
com.google.protobuf.ValueOrBuilder |
getMetricsOrBuilder()
Evaluation metrics of the Model.
|
String |
getMetricsSchemaUri()
Points to a YAML file stored on Google Cloud Storage describing the
[metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
ModelEvaluation.
|
com.google.protobuf.ByteString |
getMetricsSchemaUriBytes()
Points to a YAML file stored on Google Cloud Storage describing the
[metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
ModelEvaluation.
|
ModelExplanation |
getModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelExplanation.Builder |
getModelExplanationBuilder()
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelExplanationOrBuilder |
getModelExplanationOrBuilder()
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
String |
getName()
Output only.
|
com.google.protobuf.ByteString |
getNameBytes()
Output only.
|
String |
getSliceDimensions(int index)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
com.google.protobuf.ByteString |
getSliceDimensionsBytes(int index)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
int |
getSliceDimensionsCount()
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
com.google.protobuf.ProtocolStringList |
getSliceDimensionsList()
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
boolean |
hasBiasConfigs()
Specify the configuration for bias detection.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasMetadata()
The metadata of the ModelEvaluation.
|
boolean |
hasMetrics()
Evaluation metrics of the Model.
|
boolean |
hasModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
ModelEvaluation.Builder |
mergeBiasConfigs(ModelEvaluation.BiasConfig value)
Specify the configuration for bias detection.
|
ModelEvaluation.Builder |
mergeCreateTime(com.google.protobuf.Timestamp value)
Output only.
|
ModelEvaluation.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ModelEvaluation.Builder |
mergeFrom(com.google.protobuf.Message other) |
ModelEvaluation.Builder |
mergeFrom(ModelEvaluation other) |
ModelEvaluation.Builder |
mergeMetadata(com.google.protobuf.Value value)
The metadata of the ModelEvaluation.
|
ModelEvaluation.Builder |
mergeMetrics(com.google.protobuf.Value value)
Evaluation metrics of the Model.
|
ModelEvaluation.Builder |
mergeModelExplanation(ModelExplanation value)
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelEvaluation.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
ModelEvaluation.Builder |
removeExplanationSpecs(int index)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
setBiasConfigs(ModelEvaluation.BiasConfig.Builder builderForValue)
Specify the configuration for bias detection.
|
ModelEvaluation.Builder |
setBiasConfigs(ModelEvaluation.BiasConfig value)
Specify the configuration for bias detection.
|
ModelEvaluation.Builder |
setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only.
|
ModelEvaluation.Builder |
setCreateTime(com.google.protobuf.Timestamp value)
Output only.
|
ModelEvaluation.Builder |
setDisplayName(String value)
The display name of the ModelEvaluation.
|
ModelEvaluation.Builder |
setDisplayNameBytes(com.google.protobuf.ByteString value)
The display name of the ModelEvaluation.
|
ModelEvaluation.Builder |
setExplanationSpecs(int index,
ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
setExplanationSpecs(int index,
ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of
[ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are
used for explaining the predicted values on the evaluated data.
|
ModelEvaluation.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelEvaluation.Builder |
setMetadata(com.google.protobuf.Value.Builder builderForValue)
The metadata of the ModelEvaluation.
|
ModelEvaluation.Builder |
setMetadata(com.google.protobuf.Value value)
The metadata of the ModelEvaluation.
|
ModelEvaluation.Builder |
setMetrics(com.google.protobuf.Value.Builder builderForValue)
Evaluation metrics of the Model.
|
ModelEvaluation.Builder |
setMetrics(com.google.protobuf.Value value)
Evaluation metrics of the Model.
|
ModelEvaluation.Builder |
setMetricsSchemaUri(String value)
Points to a YAML file stored on Google Cloud Storage describing the
[metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
ModelEvaluation.
|
ModelEvaluation.Builder |
setMetricsSchemaUriBytes(com.google.protobuf.ByteString value)
Points to a YAML file stored on Google Cloud Storage describing the
[metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this
ModelEvaluation.
|
ModelEvaluation.Builder |
setModelExplanation(ModelExplanation.Builder builderForValue)
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelEvaluation.Builder |
setModelExplanation(ModelExplanation value)
Aggregated explanation metrics for the Model's prediction output over the
data this ModelEvaluation uses.
|
ModelEvaluation.Builder |
setName(String value)
Output only.
|
ModelEvaluation.Builder |
setNameBytes(com.google.protobuf.ByteString value)
Output only.
|
ModelEvaluation.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
ModelEvaluation.Builder |
setSliceDimensions(int index,
String value)
All possible
[dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension]
of ModelEvaluationSlices.
|
ModelEvaluation.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<ModelEvaluation.Builder>public ModelEvaluation.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.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<ModelEvaluation.Builder>public ModelEvaluation getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ModelEvaluation build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.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<ModelEvaluation.Builder>public ModelEvaluation.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.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<ModelEvaluation.Builder>public ModelEvaluation.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<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.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<ModelEvaluation.Builder>IOExceptionpublic String getName()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getName in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getNameBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setName(String value)
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The name to set.public ModelEvaluation.Builder clearName()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder setNameBytes(com.google.protobuf.ByteString value)
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for name to set.public String getDisplayName()
The display name of the ModelEvaluation.
string display_name = 10;getDisplayName in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
The display name of the ModelEvaluation.
string display_name = 10;getDisplayNameBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setDisplayName(String value)
The display name of the ModelEvaluation.
string display_name = 10;value - The displayName to set.public ModelEvaluation.Builder clearDisplayName()
The display name of the ModelEvaluation.
string display_name = 10;public ModelEvaluation.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
The display name of the ModelEvaluation.
string display_name = 10;value - The bytes for displayName to set.public String getMetricsSchemaUri()
Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2;getMetricsSchemaUri in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getMetricsSchemaUriBytes()
Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2;getMetricsSchemaUriBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setMetricsSchemaUri(String value)
Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2;value - The metricsSchemaUri to set.public ModelEvaluation.Builder clearMetricsSchemaUri()
Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2;public ModelEvaluation.Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value)
Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2;value - The bytes for metricsSchemaUri to set.public boolean hasMetrics()
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;hasMetrics in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Value getMetrics()
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;getMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setMetrics(com.google.protobuf.Value value)
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;public ModelEvaluation.Builder setMetrics(com.google.protobuf.Value.Builder builderForValue)
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;public ModelEvaluation.Builder mergeMetrics(com.google.protobuf.Value value)
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;public ModelEvaluation.Builder clearMetrics()
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;public com.google.protobuf.Value.Builder getMetricsBuilder()
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder()
Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3;getMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder clearCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTimeOrBuilder in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ProtocolStringList getSliceDimensionsList()
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;getSliceDimensionsList in interface ModelEvaluationOrBuilderpublic int getSliceDimensionsCount()
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;getSliceDimensionsCount in interface ModelEvaluationOrBuilderpublic String getSliceDimensions(int index)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;getSliceDimensions in interface ModelEvaluationOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getSliceDimensionsBytes(int index)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;getSliceDimensionsBytes in interface ModelEvaluationOrBuilderindex - The index of the value to return.public ModelEvaluation.Builder setSliceDimensions(int index, String value)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;index - The index to set the value at.value - The sliceDimensions to set.public ModelEvaluation.Builder addSliceDimensions(String value)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;value - The sliceDimensions to add.public ModelEvaluation.Builder addAllSliceDimensions(Iterable<String> values)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;values - The sliceDimensions to add.public ModelEvaluation.Builder clearSliceDimensions()
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;public ModelEvaluation.Builder addSliceDimensionsBytes(com.google.protobuf.ByteString value)
All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5;value - The bytes of the sliceDimensions to add.public boolean hasModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;hasModelExplanation in interface ModelEvaluationOrBuilderpublic ModelExplanation getModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;getModelExplanation in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setModelExplanation(ModelExplanation value)
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;public ModelEvaluation.Builder setModelExplanation(ModelExplanation.Builder builderForValue)
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;public ModelEvaluation.Builder mergeModelExplanation(ModelExplanation value)
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;public ModelEvaluation.Builder clearModelExplanation()
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;public ModelExplanation.Builder getModelExplanationBuilder()
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;public ModelExplanationOrBuilder getModelExplanationOrBuilder()
Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8;getModelExplanationOrBuilder in interface ModelEvaluationOrBuilderpublic List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
getExplanationSpecsList in interface ModelEvaluationOrBuilderpublic int getExplanationSpecsCount()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
getExplanationSpecsCount in interface ModelEvaluationOrBuilderpublic ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs(int index)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
getExplanationSpecs in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder clearExplanationSpecs()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.Builder removeExplanationSpecs(int index)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.ModelEvaluationExplanationSpec.Builder getExplanationSpecsBuilder(int index)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder(int index)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
getExplanationSpecsOrBuilder in interface ModelEvaluationOrBuilderpublic List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
getExplanationSpecsOrBuilderList in interface ModelEvaluationOrBuilderpublic ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder(int index)
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public List<ModelEvaluation.ModelEvaluationExplanationSpec.Builder> getExplanationSpecsBuilderList()
Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
public boolean hasMetadata()
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;hasMetadata in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Value getMetadata()
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;getMetadata in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setMetadata(com.google.protobuf.Value value)
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;public ModelEvaluation.Builder setMetadata(com.google.protobuf.Value.Builder builderForValue)
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;public ModelEvaluation.Builder mergeMetadata(com.google.protobuf.Value value)
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;public ModelEvaluation.Builder clearMetadata()
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;public com.google.protobuf.Value.Builder getMetadataBuilder()
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder()
The metadata of the ModelEvaluation. For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a structured value with keys of "pipeline_job_id", "evaluation_dataset_type", "evaluation_dataset_path", "row_based_metrics_path".
.google.protobuf.Value metadata = 11;getMetadataOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasBiasConfigs()
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;hasBiasConfigs in interface ModelEvaluationOrBuilderpublic ModelEvaluation.BiasConfig getBiasConfigs()
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;getBiasConfigs in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setBiasConfigs(ModelEvaluation.BiasConfig value)
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;public ModelEvaluation.Builder setBiasConfigs(ModelEvaluation.BiasConfig.Builder builderForValue)
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;public ModelEvaluation.Builder mergeBiasConfigs(ModelEvaluation.BiasConfig value)
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;public ModelEvaluation.Builder clearBiasConfigs()
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;public ModelEvaluation.BiasConfig.Builder getBiasConfigsBuilder()
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;public ModelEvaluation.BiasConfigOrBuilder getBiasConfigsOrBuilder()
Specify the configuration for bias detection.
.google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;getBiasConfigsOrBuilder in interface ModelEvaluationOrBuilderpublic final ModelEvaluation.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public final ModelEvaluation.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>Copyright © 2025 Google LLC. All rights reserved.