tf.contrib.distributions.Beta.is_reparameterized

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

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.distributions.Gamma.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

tf.contrib.distributions.WishartCholesky.batch_shape(name='batch_shape') Shape of a single sample from a single event index as

tf.contrib.distributions.WishartCholesky.__init__(df, scale, cholesky_input_output_matrices=False, validate_args=False, allow_nan_stats=True, name='WishartCholesky')

tf.contrib.distributions.Poisson.mode(name='mode') Mode. Additional documentation from Poisson:

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mode(name='mode') Mode.