final class DistributionConstraints extends GeneratedMessageV3 with DistributionConstraintsOrBuilder
Models constraints on the distribution of a feature's values. TODO(martinz): replace min_domain_mass with max_off_domain (but slowly).
Protobuf type tensorflow.metadata.v0.DistributionConstraints
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- def getMinDomainMass(): Double
The minimum fraction (in [0,1]) of values across all examples that should come from the feature's domain, e.g.: 1.0 => All values must come from the domain. .9 => At least 90% of the values must come from the domain.
The minimum fraction (in [0,1]) of values across all examples that should come from the feature's domain, e.g.: 1.0 => All values must come from the domain. .9 => At least 90% of the values must come from the domain.
optional double min_domain_mass = 1 [default = 1];- returns
The minDomainMass.
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- def getParserForType(): Parser[DistributionConstraints]
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- def hasMinDomainMass(): Boolean
The minimum fraction (in [0,1]) of values across all examples that should come from the feature's domain, e.g.: 1.0 => All values must come from the domain. .9 => At least 90% of the values must come from the domain.
The minimum fraction (in [0,1]) of values across all examples that should come from the feature's domain, e.g.: 1.0 => All values must come from the domain. .9 => At least 90% of the values must come from the domain.
optional double min_domain_mass = 1 [default = 1];- returns
Whether the minDomainMass field is set.
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