Interface ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder (3.4.1)

Version 3.4.1

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public static interface ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getFeatureDisplayName()

public abstract String getFeatureDisplayName()

Display Name of the Feature.

string feature_display_name = 1;

Returns

Type	Description
String	The featureDisplayName.

getFeatureDisplayNameBytes()

public abstract ByteString getFeatureDisplayNameBytes()

Display Name of the Feature.

string feature_display_name = 1;

Returns

Type	Description
ByteString	The bytes for featureDisplayName.

getPredictionStats(int index)

public abstract FeatureStatsAnomaly getPredictionStats(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Parameter

Name	Description
index	int

Returns

Type	Description
FeatureStatsAnomaly

getPredictionStatsCount()

public abstract int getPredictionStatsCount()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Returns

Type	Description
int

getPredictionStatsList()

public abstract List<FeatureStatsAnomaly> getPredictionStatsList()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Returns

Type	Description
List<FeatureStatsAnomaly>

getPredictionStatsOrBuilder(int index)

public abstract FeatureStatsAnomalyOrBuilder getPredictionStatsOrBuilder(int index)

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Parameter

Name	Description
index	int

Returns

Type	Description
FeatureStatsAnomalyOrBuilder

getPredictionStatsOrBuilderList()

public abstract List<? extends FeatureStatsAnomalyOrBuilder> getPredictionStatsOrBuilderList()

A list of historical stats generated by different time window's Prediction Dataset.

repeated .google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly prediction_stats = 5;

Returns

Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomalyOrBuilder>

getThreshold()

public abstract ThresholdConfig getThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns

Type	Description
ThresholdConfig	The threshold.

getThresholdOrBuilder()

public abstract ThresholdConfigOrBuilder getThresholdOrBuilder()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns

Type	Description
ThresholdConfigOrBuilder

getTrainingStats()

public abstract FeatureStatsAnomaly getTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns

Type	Description
FeatureStatsAnomaly	The trainingStats.

getTrainingStatsOrBuilder()

public abstract FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns

Type	Description
FeatureStatsAnomalyOrBuilder

hasThreshold()

public abstract boolean hasThreshold()

Threshold for anomaly detection.

.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;

Returns

Type	Description
boolean	Whether the threshold field is set.

hasTrainingStats()

public abstract boolean hasTrainingStats()

Stats calculated for the Training Dataset.

.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;

Returns

Type	Description
boolean	Whether the trainingStats field is set.