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public static final class ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder> implements ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.
Protobuf type
google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.BuilderInherited Members
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
build()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig build()
buildPartial()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig buildPartial()
clear()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clear()
clearAttributionScoreSkewThresholds()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearAttributionScoreSkewThresholds()
clearDefaultSkewThreshold()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearDefaultSkewThreshold()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
clearSkewThresholds()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clearSkewThresholds()
clone()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder clone()
containsAttributionScoreSkewThresholds(String key)
public boolean containsAttributionScoreSkewThresholds(String key)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
key | String |
Type | Description |
boolean |
containsSkewThresholds(String key)
public boolean containsSkewThresholds(String key)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
key | String |
Type | Description |
boolean |
getAttributionScoreSkewThresholds()
public Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()
Use #getAttributionScoreSkewThresholdsMap() instead.
Type | Description |
Map<String,ThresholdConfig> |
getAttributionScoreSkewThresholdsCount()
public int getAttributionScoreSkewThresholdsCount()
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Type | Description |
int |
getAttributionScoreSkewThresholdsMap()
public Map<String,ThresholdConfig> getAttributionScoreSkewThresholdsMap()
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Type | Description |
Map<String,ThresholdConfig> |
getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
public ThresholdConfig getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
key | String |
defaultValue | ThresholdConfig |
Type | Description |
ThresholdConfig |
getAttributionScoreSkewThresholdsOrThrow(String key)
public ThresholdConfig getAttributionScoreSkewThresholdsOrThrow(String key)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
key | String |
Type | Description |
ThresholdConfig |
getDefaultInstanceForType()
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getDefaultInstanceForType()
getDefaultSkewThreshold()
public ThresholdConfig getDefaultSkewThreshold()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Type | Description |
ThresholdConfig | The defaultSkewThreshold. |
getDefaultSkewThresholdBuilder()
public ThresholdConfig.Builder getDefaultSkewThresholdBuilder()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Type | Description |
ThresholdConfig.Builder |
getDefaultSkewThresholdOrBuilder()
public ThresholdConfigOrBuilder getDefaultSkewThresholdOrBuilder()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Type | Description |
ThresholdConfigOrBuilder |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getMutableAttributionScoreSkewThresholds()
public Map<String,ThresholdConfig> getMutableAttributionScoreSkewThresholds()
Use alternate mutation accessors instead.
Type | Description |
Map<String,ThresholdConfig> |
getMutableSkewThresholds()
public Map<String,ThresholdConfig> getMutableSkewThresholds()
Use alternate mutation accessors instead.
Type | Description |
Map<String,ThresholdConfig> |
getSkewThresholds()
public Map<String,ThresholdConfig> getSkewThresholds()
Use #getSkewThresholdsMap() instead.
Type | Description |
Map<String,ThresholdConfig> |
getSkewThresholdsCount()
public int getSkewThresholdsCount()
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Type | Description |
int |
getSkewThresholdsMap()
public Map<String,ThresholdConfig> getSkewThresholdsMap()
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Type | Description |
Map<String,ThresholdConfig> |
getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
public ThresholdConfig getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
key | String |
defaultValue | ThresholdConfig |
Type | Description |
ThresholdConfig |
getSkewThresholdsOrThrow(String key)
public ThresholdConfig getSkewThresholdsOrThrow(String key)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
key | String |
Type | Description |
ThresholdConfig |
hasDefaultSkewThreshold()
public boolean hasDefaultSkewThreshold()
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Type | Description |
boolean | Whether the defaultSkewThreshold field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
internalGetMapField(int number)
protected MapField internalGetMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
internalGetMutableMapField(int number)
protected MapField internalGetMutableMapField(int number)
Name | Description |
number | int |
Type | Description |
MapField |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeDefaultSkewThreshold(ThresholdConfig value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeDefaultSkewThreshold(ThresholdConfig value)
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Name | Description |
value | ThresholdConfig |
mergeFrom(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig other)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig other)
Name | Description |
other | ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeFrom(Message other)
Name | Description |
other | Message |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
putAllAttributionScoreSkewThresholds(Map<String,ThresholdConfig> values)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAllAttributionScoreSkewThresholds(Map<String,ThresholdConfig> values)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
values | Map<String,ThresholdConfig> |
putAllSkewThresholds(Map<String,ThresholdConfig> values)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAllSkewThresholds(Map<String,ThresholdConfig> values)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
values | Map<String,ThresholdConfig> |
putAttributionScoreSkewThresholds(String key, ThresholdConfig value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putAttributionScoreSkewThresholds(String key, ThresholdConfig value)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
key | String |
value | ThresholdConfig |
putSkewThresholds(String key, ThresholdConfig value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder putSkewThresholds(String key, ThresholdConfig value)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
key | String |
value | ThresholdConfig |
removeAttributionScoreSkewThresholds(String key)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder removeAttributionScoreSkewThresholds(String key)
Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_skew_thresholds = 2;
Name | Description |
key | String |
removeSkewThresholds(String key)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder removeSkewThresholds(String key)
Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.
map<string, .google.cloud.aiplatform.v1.ThresholdConfig> skew_thresholds = 1;
Name | Description |
key | String |
setDefaultSkewThreshold(ThresholdConfig value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setDefaultSkewThreshold(ThresholdConfig value)
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Name | Description |
value | ThresholdConfig |
setDefaultSkewThreshold(ThresholdConfig.Builder builderForValue)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setDefaultSkewThreshold(ThresholdConfig.Builder builderForValue)
Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.
.google.cloud.aiplatform.v1.ThresholdConfig default_skew_threshold = 6;
Name | Description |
builderForValue | ThresholdConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |