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

tf.contrib.distributions.WishartFull.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.Chi2.df

tf.contrib.distributions.BernoulliWithSigmoidP.event_shape(name='event_shape') Shape of a single sample from a single batch as

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

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

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

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

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

tf.contrib.distributions.Binomial.get_batch_shape() Shape of a single sample from a single event index as a TensorShape