- 3.54.0 (latest)
- 3.53.0
- 3.52.0
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
public static final class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder> implements ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder
The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.
Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveConfig.ExplanationConfig.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
build()
public ModelMonitoringObjectiveConfig.ExplanationConfig build()
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig |
buildPartial()
public ModelMonitoringObjectiveConfig.ExplanationConfig buildPartial()
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig |
clear()
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clear()
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
clearEnableFeatureAttributes()
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearEnableFeatureAttributes()
If want to analyze the Vertex Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.
bool enable_feature_attributes = 1;
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder | This builder for chaining. |
clearExplanationBaseline()
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearExplanationBaseline()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
clone()
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clone()
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
getDefaultInstanceForType()
public ModelMonitoringObjectiveConfig.ExplanationConfig getDefaultInstanceForType()
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getEnableFeatureAttributes()
public boolean getEnableFeatureAttributes()
If want to analyze the Vertex Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.
bool enable_feature_attributes = 1;
Type | Description |
boolean | The enableFeatureAttributes. |
getExplanationBaseline()
public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline | The explanationBaseline. |
getExplanationBaselineBuilder()
public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder getExplanationBaselineBuilder()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder |
getExplanationBaselineOrBuilder()
public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder |
hasExplanationBaseline()
public boolean hasExplanationBaseline()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Type | Description |
boolean | Whether the explanationBaseline field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Name | Description |
value | ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
mergeFrom(ModelMonitoringObjectiveConfig.ExplanationConfig other)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.ExplanationConfig other)
Name | Description |
other | ModelMonitoringObjectiveConfig.ExplanationConfig |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
setEnableFeatureAttributes(boolean value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setEnableFeatureAttributes(boolean value)
If want to analyze the Vertex Explainable AI feature attribute scores or not. If set to true, Vertex AI will log the feature attributions from explain response and do the skew/drift detection for them.
bool enable_feature_attributes = 1;
Name | Description |
value | boolean The enableFeatureAttributes to set. |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder | This builder for chaining. |
setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Name | Description |
value | ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder builderForValue)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder builderForValue)
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Name | Description |
builderForValue | ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.ExplanationConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |