Interface ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder (3.21.0)

Version 3.21.0

• 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 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.