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public static interface ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getFeatureDisplayName()
public abstract String getFeatureDisplayName()
Display Name of the Feature.
string feature_display_name = 1;
Type | Description |
String | The featureDisplayName. |
getFeatureDisplayNameBytes()
public abstract ByteString getFeatureDisplayNameBytes()
Display Name of the Feature.
string feature_display_name = 1;
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;
Name | Description |
index | int |
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;
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;
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;
Name | Description |
index | int |
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;
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;
Type | Description |
ThresholdConfig | The threshold. |
getThresholdOrBuilder()
public abstract ThresholdConfigOrBuilder getThresholdOrBuilder()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;
Type | Description |
ThresholdConfigOrBuilder |
getTrainingStats()
public abstract FeatureStatsAnomaly getTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
FeatureStatsAnomaly | The trainingStats. |
getTrainingStatsOrBuilder()
public abstract FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
FeatureStatsAnomalyOrBuilder |
hasThreshold()
public abstract boolean hasThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1beta1.ThresholdConfig threshold = 3;
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;
Type | Description |
boolean | Whether the trainingStats field is set. |