tf.contrib.distributions.Uniform.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Beta.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.Multinomial.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.WishartFull.mean_log_det(name='mean_log_det') Computes E[log(det(X))] under this Wishart distribution

tf.contrib.distributions.WishartCholesky.scale() Wishart distribution scale matrix.

tf.contrib.distributions.BernoulliWithSigmoidP.survival_function(value, name='survival_function') Survival function.

tf.contrib.distributions.WishartCholesky.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D

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

tf.contrib.distributions.TransformedDistribution.std(name='std') Standard deviation.

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