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

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

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

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

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

tf.matching_files(pattern, name=None) Returns the set of files matching a pattern. Note that this

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

tf.igammac(a, x, name=None) Compute the upper regularized incomplete Gamma function Q(a, x). The

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

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