Package org.tensorflow.op.random

Class Summary

Class	Description
AllCandidateSampler	Generates labels for candidate sampling with a learned unigram distribution.
AllCandidateSampler.Options	Optional attributes for AllCandidateSampler
LogUniformCandidateSampler	Generates labels for candidate sampling with a log-uniform distribution.
LogUniformCandidateSampler.Options	Optional attributes for LogUniformCandidateSampler
Multinomial<U extends Number>	Draws samples from a multinomial distribution.
Multinomial.Options	Optional attributes for Multinomial
ParameterizedTruncatedNormal<U extends Number>	Outputs random values from a normal distribution.
ParameterizedTruncatedNormal.Options	Optional attributes for ParameterizedTruncatedNormal
RandomGamma<U extends Number>	Outputs random values from the Gamma distribution(s) described by alpha.
RandomGamma.Options	Optional attributes for RandomGamma
RandomGammaGrad<T extends Number>	Computes the derivative of a Gamma random sample w.r.t.
RandomPoisson<V extends Number>	Outputs random values from the Poisson distribution(s) described by rate.
RandomPoisson.Options	Optional attributes for RandomPoisson
RandomShuffle<T>	Randomly shuffles a tensor along its first dimension.
RandomShuffle.Options	Optional attributes for RandomShuffle
RandomStandardNormal<U extends Number>	Outputs random values from a normal distribution.
RandomStandardNormal.Options	Optional attributes for RandomStandardNormal
RandomUniform<U extends Number>	Outputs random values from a uniform distribution.
RandomUniform.Options	Optional attributes for RandomUniform
RandomUniformInt<U extends Number>	Outputs random integers from a uniform distribution.
RandomUniformInt.Options	Optional attributes for RandomUniformInt
RecordInput	Emits randomized records.
RecordInput.Options	Optional attributes for RecordInput
StatelessMultinomial<V extends Number>	Draws samples from a multinomial distribution.
StatelessRandomNormal<V extends Number>	Outputs deterministic pseudorandom values from a normal distribution.
StatelessRandomUniform<V extends Number>	Outputs deterministic pseudorandom random values from a uniform distribution.
StatelessRandomUniformInt<V extends Number>	Outputs deterministic pseudorandom random integers from a uniform distribution.
StatelessTruncatedNormal<V extends Number>	Outputs deterministic pseudorandom values from a truncated normal distribution.
TruncatedNormal<U extends Number>	Outputs random values from a truncated normal distribution.
TruncatedNormal.Options	Optional attributes for TruncatedNormal
UniformCandidateSampler	Generates labels for candidate sampling with a uniform distribution.
UniformCandidateSampler.Options	Optional attributes for UniformCandidateSampler