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

tf.contrib.distributions.Distribution.dtype The DType of Tensors handled by this Distribution

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

tf.contrib.distributions.Poisson.log_survival_function(value, name='log_survival_function') Log survival function.

tf.contrib.distributions.MultivariateNormalCholesky.log_pmf(value, name='log_pmf') Log probability mass function.

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

tf.contrib.distributions.DirichletMultinomial.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

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

tf.contrib.distributions.Laplace.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor