Cloud AI Platform v1beta1 API - Class FeatureStatsAndAnomaly (1.0.0-beta11)

public sealed class FeatureStatsAndAnomaly : IMessage<FeatureStatsAndAnomaly>, IEquatable<FeatureStatsAndAnomaly>, IDeepCloneable<FeatureStatsAndAnomaly>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class FeatureStatsAndAnomaly.

Stats and Anomaly generated by FeatureMonitorJobs. Anomaly only includes Drift.

Inheritance

object > FeatureStatsAndAnomaly

Implements

IMessage FeatureStatsAndAnomaly, IEquatable FeatureStatsAndAnomaly, IDeepCloneable FeatureStatsAndAnomaly, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

FeatureStatsAndAnomaly()

public FeatureStatsAndAnomaly()

FeatureStatsAndAnomaly(FeatureStatsAndAnomaly)

public FeatureStatsAndAnomaly(FeatureStatsAndAnomaly other)

Parameter
Name	Description
`other`	`FeatureStatsAndAnomaly`

Properties

DistributionDeviation

public double DistributionDeviation { get; set; }

Deviation from the current stats to baseline stats.

For categorical feature, the distribution distance is calculated by L-inifinity norm.
For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence.

Property Value
Type	Description
`double`

DriftDetected

public bool DriftDetected { get; set; }

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

Property Value
Type	Description
`bool`

DriftDetectionThreshold

public double DriftDetectionThreshold { get; set; }

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

Property Value
Type	Description
`double`

FeatureId

public string FeatureId { get; set; }

Feature Id.

Property Value
Type	Description
`string`

FeatureMonitorId

public string FeatureMonitorId { get; set; }

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

Property Value
Type	Description
`string`

FeatureMonitorJobId

public long FeatureMonitorJobId { get; set; }

The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.

Property Value
Type	Description
`long`

FeatureStats

public Value FeatureStats { get; set; }

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

Property Value
Type	Description
`Value`

StatsTime

public Timestamp StatsTime { get; set; }

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

Property Value
Type	Description
`Timestamp`