Class DistributionDataValue (1.51.0)

Version latest

• 1.51.0 (latest)
• 1.50.0
• 1.49.0
• 1.48.0
• 1.47.0
• 1.46.0
• 1.45.0
• 1.44.0
• 1.43.0
• 1.39.0
• 1.38.1
• 1.37.0
• 1.36.4
• 1.35.0
• 1.34.0
• 1.33.1
• 1.32.0
• 1.31.1
• 1.30.1
• 1.29.0
• 1.28.1
• 1.27.1
• 1.26.1
• 1.25.0
• 1.24.1
• 1.23.0
• 1.22.1
• 1.21.0
• 1.20.0
• 1.19.1
• 1.18.3
• 1.17.1
• 1.16.1
• 1.15.1
• 1.14.0
• 1.13.1
• 1.12.1
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.1
• 1.7.1
• 1.6.2
• 1.5.0
• 1.4.3
• 1.3.0
• 1.2.0
• 1.1.1
• 1.0.1
• 0.9.0
• 0.8.0
• 0.7.1
• 0.6.0
• 0.5.1
• 0.4.0
• 0.3.1

DistributionDataValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Summary statistics for a population of values.

Attributes
Name	Description
distribution	google.protobuf.struct_pb2.Value tensorflow.metadata.v0.DatasetFeatureStatistics format.
distribution_deviation	float 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.

Methods

DistributionDataValue

DistributionDataValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Summary statistics for a population of values.