Classes representing statistical distributions and ops for working with them.
Classes that represent batches of statistical distributions. Each class is initialized with parameters that define the distributions.
tf.contrib.distributions.Binomial
tf.contrib.distributions.Bernoulli
tf.contrib.distributions.BernoulliWithSigmoidProbs
tf.contrib.distributions.Beta
tf.contrib.distributions.Categorical
tf.contrib.distributions.Chi2
tf.contrib.distributions.Chi2WithAbsDf
tf.contrib.distributions.Exponential
tf.contrib.distributions.Gamma
tf.contrib.distributions.InverseGamma
tf.contrib.distributions.Laplace
tf.contrib.distributions.LaplaceWithSoftplusScale
tf.contrib.distributions.Normal
tf.contrib.distributions.NormalWithSoftplusScale
tf.contrib.distributions.Poisson
tf.contrib.distributions.StudentT
tf.contrib.distributions.StudentTWithAbsDfSoftplusScale
tf.contrib.distributions.Uniform
tf.contrib.distributions.MultivariateNormalDiag
tf.contrib.distributions.MultivariateNormalTriL
tf.contrib.distributions.MultivariateNormalDiagPlusLowRank
tf.contrib.distributions.MultivariateNormalDiagWithSoftplusScale
tf.contrib.distributions.Dirichlet
tf.contrib.distributions.DirichletMultinomial
tf.contrib.distributions.Multinomial
tf.contrib.distributions.WishartCholesky
tf.contrib.distributions.WishartFull
Functions that transform conjugate prior/likelihood pairs to distributions representing the posterior or posterior predictive.
tf.contrib.distributions.normal_conjugates_known_scale_posterior
tf.contrib.distributions.normal_conjugates_known_scale_predictive
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_guides/python/contrib.distributions