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public static interface ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
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 |
getDefaultDriftThreshold()
public abstract ThresholdConfig getDefaultDriftThreshold()
Drift 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_drift_threshold = 5;
Returns | |
---|---|
Type | Description |
ThresholdConfig | The defaultDriftThreshold. |
getDefaultDriftThresholdOrBuilder()
public abstract ThresholdConfigOrBuilder getDefaultDriftThresholdOrBuilder()
Drift 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_drift_threshold = 5;
Returns | |
---|---|
Type | Description |
ThresholdConfigOrBuilder |
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 |
hasDefaultDriftThreshold()
public abstract boolean hasDefaultDriftThreshold()
Drift 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_drift_threshold = 5;
Returns | |
---|---|
Type | Description |
boolean | Whether the defaultDriftThreshold field is set. |