com.google.cloud.aiplatform.v1beta1

Interface FeatureStatsAndAnomalyOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

FeatureStatsAndAnomaly, FeatureStatsAndAnomaly.Builder

public interface FeatureStatsAndAnomalyOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
double	getDistributionDeviation() Deviation from the current stats to baseline stats. 1.
boolean	getDriftDetected() If set to true, indicates current stats is detected as and comparing with baseline stats.
double	getDriftDetectionThreshold() This is the threshold used when detecting drifts, which is set in FeatureMonitor.FeatureSelectionConfig.FeatureConfig.drift_threshold double drift_detection_threshold = 4;
String	getFeatureId() Feature Id.
com.google.protobuf.ByteString	getFeatureIdBytes() Feature Id.
String	getFeatureMonitorId() The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated according to.
com.google.protobuf.ByteString	getFeatureMonitorIdBytes() The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated according to.
long	getFeatureMonitorJobId() The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.
com.google.protobuf.Value	getFeatureStats() Feature stats. e.g. histogram buckets.
com.google.protobuf.ValueOrBuilder	getFeatureStatsOrBuilder() Feature stats. e.g. histogram buckets.
com.google.protobuf.Timestamp	getStatsTime() The timestamp we take snapshot for feature values to generate stats.
com.google.protobuf.TimestampOrBuilder	getStatsTimeOrBuilder() The timestamp we take snapshot for feature values to generate stats.
boolean	hasFeatureStats() Feature stats. e.g. histogram buckets.
boolean	hasStatsTime() The timestamp we take snapshot for feature values to generate stats.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getFeatureId

String getFeatureId()

 Feature Id.
 

string feature_id = 1;

Returns:

The featureId.

getFeatureIdBytes

com.google.protobuf.ByteString getFeatureIdBytes()

 Feature Id.
 

string feature_id = 1;

Returns:

The bytes for featureId.

hasFeatureStats

boolean hasFeatureStats()

 Feature stats. e.g. histogram buckets.
 In the format of tensorflow.metadata.v0.DatasetFeatureStatistics.
 

.google.protobuf.Value feature_stats = 2;

Returns:

Whether the featureStats field is set.

getFeatureStats

com.google.protobuf.Value getFeatureStats()

 Feature stats. e.g. histogram buckets.
 In the format of tensorflow.metadata.v0.DatasetFeatureStatistics.
 

.google.protobuf.Value feature_stats = 2;

Returns:

The featureStats.

getFeatureStatsOrBuilder

com.google.protobuf.ValueOrBuilder getFeatureStatsOrBuilder()

 Feature stats. e.g. histogram buckets.
 In the format of tensorflow.metadata.v0.DatasetFeatureStatistics.
 

.google.protobuf.Value feature_stats = 2;

getDistributionDeviation

double getDistributionDeviation()

 Deviation from the current stats to baseline stats.
   1. For categorical feature, the distribution distance is calculated by
      L-inifinity norm.
   2. For numerical feature, the distribution distance is calculated by
      Jensen–Shannon divergence.
 

double distribution_deviation = 3;

Returns:

The distributionDeviation.

getDriftDetectionThreshold

double getDriftDetectionThreshold()

 This is the threshold used when detecting drifts, which is set in
 FeatureMonitor.FeatureSelectionConfig.FeatureConfig.drift_threshold
 

double drift_detection_threshold = 4;

Returns:

The driftDetectionThreshold.

getDriftDetected

boolean getDriftDetected()

 If set to true, indicates current stats is detected as and comparing
 with baseline stats.
 

bool drift_detected = 5;

Returns:

The driftDetected.

hasStatsTime

boolean hasStatsTime()

 The timestamp we take snapshot for feature values to generate stats.
 

.google.protobuf.Timestamp stats_time = 6;

Returns:

Whether the statsTime field is set.

getStatsTime

com.google.protobuf.Timestamp getStatsTime()

 The timestamp we take snapshot for feature values to generate stats.
 

.google.protobuf.Timestamp stats_time = 6;

Returns:

The statsTime.

getStatsTimeOrBuilder

com.google.protobuf.TimestampOrBuilder getStatsTimeOrBuilder()

 The timestamp we take snapshot for feature values to generate stats.
 

.google.protobuf.Timestamp stats_time = 6;

getFeatureMonitorJobId

long getFeatureMonitorJobId()

 The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.
 

int64 feature_monitor_job_id = 7;

Returns:

The featureMonitorJobId.

getFeatureMonitorId

String getFeatureMonitorId()

 The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated
 according to.
 

string feature_monitor_id = 8;

Returns:

The featureMonitorId.

getFeatureMonitorIdBytes

com.google.protobuf.ByteString getFeatureMonitorIdBytes()

 The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated
 according to.
 

string feature_monitor_id = 8;

Returns:

The bytes for featureMonitorId.