tf.contrib.distributions.NormalWithSoftplusSigma.mu Distribution parameter for the mean.

tf.contrib.distributions.Bernoulli.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_continuous

tf.contrib.distributions.Uniform.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.Bernoulli.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.NormalWithSoftplusSigma.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.distributions.Laplace.variance(name='variance') Variance.

tf.contrib.distributions.Dirichlet.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.DirichletMultinomial.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.alpha Shape parameter.