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public static final class ModelMonitoringObjectiveConfig.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.Builder> implements ModelMonitoringObjectiveConfigOrBuilder
The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.
Protobuf type google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveConfig.BuilderImplements
ModelMonitoringObjectiveConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
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Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
build()
public ModelMonitoringObjectiveConfig build()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig |
buildPartial()
public ModelMonitoringObjectiveConfig buildPartial()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig |
clear()
public ModelMonitoringObjectiveConfig.Builder clear()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearExplanationConfig()
public ModelMonitoringObjectiveConfig.Builder clearExplanationConfig()
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearPredictionDriftDetectionConfig()
public ModelMonitoringObjectiveConfig.Builder clearPredictionDriftDetectionConfig()
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearTrainingDataset()
public ModelMonitoringObjectiveConfig.Builder clearTrainingDataset()
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clearTrainingPredictionSkewDetectionConfig()
public ModelMonitoringObjectiveConfig.Builder clearTrainingPredictionSkewDetectionConfig()
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
clone()
public ModelMonitoringObjectiveConfig.Builder clone()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
getDefaultInstanceForType()
public ModelMonitoringObjectiveConfig getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getExplanationConfig()
public ModelMonitoringObjectiveConfig.ExplanationConfig getExplanationConfig()
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig |
The explanationConfig. |
getExplanationConfigBuilder()
public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder getExplanationConfigBuilder()
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
getExplanationConfigOrBuilder()
public ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder getExplanationConfigOrBuilder()
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder |
getPredictionDriftDetectionConfig()
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getPredictionDriftDetectionConfig()
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
The predictionDriftDetectionConfig. |
getPredictionDriftDetectionConfigBuilder()
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder getPredictionDriftDetectionConfigBuilder()
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder |
getPredictionDriftDetectionConfigOrBuilder()
public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder getPredictionDriftDetectionConfigOrBuilder()
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder |
getTrainingDataset()
public ModelMonitoringObjectiveConfig.TrainingDataset getTrainingDataset()
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset |
The trainingDataset. |
getTrainingDatasetBuilder()
public ModelMonitoringObjectiveConfig.TrainingDataset.Builder getTrainingDatasetBuilder()
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
getTrainingDatasetOrBuilder()
public ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder getTrainingDatasetOrBuilder()
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder |
getTrainingPredictionSkewDetectionConfig()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getTrainingPredictionSkewDetectionConfig()
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
The trainingPredictionSkewDetectionConfig. |
getTrainingPredictionSkewDetectionConfigBuilder()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder getTrainingPredictionSkewDetectionConfigBuilder()
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder |
getTrainingPredictionSkewDetectionConfigOrBuilder()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder getTrainingPredictionSkewDetectionConfigOrBuilder()
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder |
hasExplanationConfig()
public boolean hasExplanationConfig()
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Returns | |
---|---|
Type | Description |
boolean |
Whether the explanationConfig field is set. |
hasPredictionDriftDetectionConfig()
public boolean hasPredictionDriftDetectionConfig()
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Returns | |
---|---|
Type | Description |
boolean |
Whether the predictionDriftDetectionConfig field is set. |
hasTrainingDataset()
public boolean hasTrainingDataset()
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Returns | |
---|---|
Type | Description |
boolean |
Whether the trainingDataset field is set. |
hasTrainingPredictionSkewDetectionConfig()
public boolean hasTrainingPredictionSkewDetectionConfig()
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Returns | |
---|---|
Type | Description |
boolean |
Whether the trainingPredictionSkewDetectionConfig field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)
public ModelMonitoringObjectiveConfig.Builder mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.ExplanationConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergeFrom(ModelMonitoringObjectiveConfig other)
public ModelMonitoringObjectiveConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig other)
Parameter | |
---|---|
Name | Description |
other |
ModelMonitoringObjectiveConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringObjectiveConfig.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergePredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)
public ModelMonitoringObjectiveConfig.Builder mergePredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergeTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)
public ModelMonitoringObjectiveConfig.Builder mergeTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.TrainingDataset |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergeTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)
public ModelMonitoringObjectiveConfig.Builder mergeTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)
public ModelMonitoringObjectiveConfig.Builder setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.ExplanationConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig.Builder builderForValue)
public ModelMonitoringObjectiveConfig.Builder setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig.Builder builderForValue)
The config for integrating with Vertex Explainable AI.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)
public ModelMonitoringObjectiveConfig.Builder setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder builderForValue)
public ModelMonitoringObjectiveConfig.Builder setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder builderForValue)
The config for drift of prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)
public ModelMonitoringObjectiveConfig.Builder setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.TrainingDataset |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue)
public ModelMonitoringObjectiveConfig.Builder setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue)
Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringObjectiveConfig.TrainingDataset.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)
public ModelMonitoringObjectiveConfig.Builder setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Parameter | |
---|---|
Name | Description |
value |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder builderForValue)
public ModelMonitoringObjectiveConfig.Builder setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder builderForValue)
The config for skew between training data and prediction data.
.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfig.Builder |