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

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

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

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

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

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

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

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

tf.contrib.distributions.StudentT.name Name prepended to all ops created by this Distribution.

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