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.Binomialtf.contrib.distributions.Bernoullitf.contrib.distributions.Betatf.contrib.distributions.Categoricaltf.contrib.distributions.Chi2tf.contrib.distributions.Chi2WithAbsDftf.contrib.distributions.Exponentialtf.contrib.distributions.Gammatf.contrib.distributions.InverseGammatf.contrib.distributions.Laplacetf.contrib.distributions.LaplaceWithSoftplusScaletf.contrib.distributions.Normaltf.contrib.distributions.NormalWithSoftplusScaletf.contrib.distributions.Poissontf.contrib.distributions.StudentTtf.contrib.distributions.StudentTWithAbsDfSoftplusScaletf.contrib.distributions.Uniformtf.contrib.distributions.MultivariateNormalDiagtf.contrib.distributions.MultivariateNormalTriLtf.contrib.distributions.MultivariateNormalDiagPlusLowRanktf.contrib.distributions.MultivariateNormalDiagWithSoftplusScaletf.contrib.distributions.Dirichlettf.contrib.distributions.DirichletMultinomialtf.contrib.distributions.Multinomialtf.contrib.distributions.WishartCholeskytf.contrib.distributions.WishartFullFunctions that transform conjugate prior/likelihood pairs to distributions representing the posterior or posterior predictive.
tf.contrib.distributions.normal_conjugates_known_scale_posteriortf.contrib.distributions.normal_conjugates_known_scale_predictive
© 2018 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