Interface ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder (3.44.0)

Version latest

• 3.44.0 (latest)
• 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 ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValueOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getDistribution()

public abstract Value getDistribution()

tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
Value	The distribution.

getDistributionDeviation()

public abstract double getDistributionDeviation()

Distribution distance deviation from the current dataset's statistics to baseline dataset's statistics.

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

double distribution_deviation = 2;

Returns
Type	Description
double	The distributionDeviation.

getDistributionOrBuilder()

public abstract ValueOrBuilder getDistributionOrBuilder()

tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
ValueOrBuilder

hasDistribution()

public abstract boolean hasDistribution()

tensorflow.metadata.v0.DatasetFeatureStatistics format.

.google.protobuf.Value distribution = 1;

Returns
Type	Description
boolean	Whether the distribution field is set.