Interface ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder (2.5.3)

public static interface ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsAttributionScoreDriftThresholds(String key)

public abstract boolean containsAttributionScoreDriftThresholds(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

containsDriftThresholds(String key)

public abstract boolean containsDriftThresholds(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameter
NameDescription
keyString
Returns
TypeDescription
boolean

getAttributionScoreDriftThresholds()

public abstract Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()
Returns
TypeDescription
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsCount()

public abstract int getAttributionScoreDriftThresholdsCount()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns
TypeDescription
int

getAttributionScoreDriftThresholdsMap()

public abstract Map<String,ThresholdConfig> getAttributionScoreDriftThresholdsMap()

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns
TypeDescription
Map<String,ThresholdConfig>

getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public abstract ThresholdConfig getAttributionScoreDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameters
NameDescription
keyString
defaultValueThresholdConfig
Returns
TypeDescription
ThresholdConfig

getAttributionScoreDriftThresholdsOrThrow(String key)

public abstract ThresholdConfig getAttributionScoreDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter
NameDescription
keyString
Returns
TypeDescription
ThresholdConfig

getDriftThresholds()

public abstract Map<String,ThresholdConfig> getDriftThresholds()
Returns
TypeDescription
Map<String,ThresholdConfig>

getDriftThresholdsCount()

public abstract int getDriftThresholdsCount()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Returns
TypeDescription
int

getDriftThresholdsMap()

public abstract Map<String,ThresholdConfig> getDriftThresholdsMap()

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Returns
TypeDescription
Map<String,ThresholdConfig>

getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

public abstract ThresholdConfig getDriftThresholdsOrDefault(String key, ThresholdConfig defaultValue)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameters
NameDescription
keyString
defaultValueThresholdConfig
Returns
TypeDescription
ThresholdConfig

getDriftThresholdsOrThrow(String key)

public abstract ThresholdConfig getDriftThresholdsOrThrow(String key)

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

map<string, .google.cloud.aiplatform.v1.ThresholdConfig> drift_thresholds = 1;

Parameter
NameDescription
keyString
Returns
TypeDescription
ThresholdConfig