com.google.cloud.aiplatform.v1

Interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig, ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder

Enclosing class:

ModelMonitoringObjectiveConfig

public static interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
boolean	containsAttributionScoreSkewThresholds(String key) Key is the feature name and value is the threshold.
boolean	containsSkewThresholds(String key) Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholds() Deprecated.
int	getAttributionScoreSkewThresholdsCount() Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getAttributionScoreSkewThresholdsMap() Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue) Key is the feature name and value is the threshold.
ThresholdConfig	getAttributionScoreSkewThresholdsOrThrow(String key) Key is the feature name and value is the threshold.
ThresholdConfig	getDefaultSkewThreshold() Skew anomaly detection threshold used by all features.
ThresholdConfigOrBuilder	getDefaultSkewThresholdOrBuilder() Skew anomaly detection threshold used by all features.
Map<String,ThresholdConfig>	getSkewThresholds() Deprecated.
int	getSkewThresholdsCount() Key is the feature name and value is the threshold.
Map<String,ThresholdConfig>	getSkewThresholdsMap() Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue) Key is the feature name and value is the threshold.
ThresholdConfig	getSkewThresholdsOrThrow(String key) Key is the feature name and value is the threshold.
boolean	hasDefaultSkewThreshold() Skew anomaly detection threshold used by all features.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getSkewThresholdsCount

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;

containsSkewThresholds

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;

getSkewThresholds

@Deprecated
Map<String,ThresholdConfig> getSkewThresholds()

Deprecated.

Use getSkewThresholdsMap() instead.

getSkewThresholdsMap

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;

getSkewThresholdsOrDefault

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;

getSkewThresholdsOrThrow

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;

getAttributionScoreSkewThresholdsCount

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;

containsAttributionScoreSkewThresholds

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;

getAttributionScoreSkewThresholds

@Deprecated
Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()

Deprecated.

Use getAttributionScoreSkewThresholdsMap() instead.

getAttributionScoreSkewThresholdsMap

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;

getAttributionScoreSkewThresholdsOrDefault

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;

getAttributionScoreSkewThresholdsOrThrow

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;

hasDefaultSkewThreshold

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;

Returns:

Whether the defaultSkewThreshold field is set.

getDefaultSkewThreshold

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;

Returns:

The defaultSkewThreshold.

getDefaultSkewThresholdOrBuilder

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;