Interface ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder (2.5.3)

Version 2.5.3

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
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.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
boolean

getAttributionScoreDriftThresholds()

public abstract Map<String,ThresholdConfig> getAttributionScoreDriftThresholds()

Use #getAttributionScoreDriftThresholdsMap() instead.

Returns

Type	Description
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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns

Type	Description
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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Returns

Type	Description
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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
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.v1beta1.ThresholdConfig> attribution_score_drift_thresholds = 2;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig

getDriftThresholds()

public abstract Map<String,ThresholdConfig> getDriftThresholds()

Use #getDriftThresholdsMap() instead.

Returns

Type	Description
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.v1beta1.ThresholdConfig> drift_thresholds = 1;

Returns

Type	Description
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.v1beta1.ThresholdConfig> drift_thresholds = 1;

Returns

Type	Description
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.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameters

Name	Description
key	String
defaultValue	ThresholdConfig

Returns

Type	Description
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.v1beta1.ThresholdConfig> drift_thresholds = 1;

Parameter

Name	Description
key	String

Returns

Type	Description
ThresholdConfig