Interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder (3.4.1)

Version 3.4.1

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public static interface ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsAttributionScoreSkewThresholds(String key)

public abstract 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.v1beta1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

containsSkewThresholds(String key)

public abstract 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.v1beta1.ThresholdConfig> skew_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

getAttributionScoreSkewThresholds()

public abstract Map<String,ThresholdConfig> getAttributionScoreSkewThresholds()

Use #getAttributionScoreSkewThresholdsMap() instead.

Returns

Type	Description
Map<String,ThresholdConfig>

getAttributionScoreSkewThresholdsCount()

public abstract 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.v1beta1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Returns

Type	Description
int

getAttributionScoreSkewThresholdsMap()

public abstract 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.v1beta1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Returns

Type	Description
Map<String,ThresholdConfig>

getAttributionScoreSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public abstract 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.v1beta1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
ThresholdConfig

getAttributionScoreSkewThresholdsOrThrow(String key)

public abstract 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.v1beta1.ThresholdConfig> attribution_score_skew_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig

getDefaultSkewThreshold()

public abstract 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.v1beta1.ThresholdConfig default_skew_threshold = 6;

Returns

Type	Description
ThresholdConfig	The defaultSkewThreshold.

getDefaultSkewThresholdOrBuilder()

public abstract 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.v1beta1.ThresholdConfig default_skew_threshold = 6;

Returns

Type	Description
ThresholdConfigOrBuilder

getSkewThresholds()

public abstract Map<String,ThresholdConfig> getSkewThresholds()

Use #getSkewThresholdsMap() instead.

Returns

Type	Description
Map<String,ThresholdConfig>

getSkewThresholdsCount()

public abstract 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.v1beta1.ThresholdConfig> skew_thresholds = 1;

Returns

Type	Description
int

getSkewThresholdsMap()

public abstract 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.v1beta1.ThresholdConfig> skew_thresholds = 1;

Returns

Type	Description
Map<String,ThresholdConfig>

getSkewThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public abstract 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.v1beta1.ThresholdConfig> skew_thresholds = 1;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
ThresholdConfig

getSkewThresholdsOrThrow(String key)

public abstract 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.v1beta1.ThresholdConfig> skew_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig

hasDefaultSkewThreshold()

public abstract 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.v1beta1.ThresholdConfig default_skew_threshold = 6;

Returns

Type	Description
boolean	Whether the defaultSkewThreshold field is set.