tf.contrib.distributions.Mixture.cat

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.prob(value, name='prob') Probability density/mass function (depending

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

tf.contrib.distributions.Laplace.is_continuous

tf.contrib.distributions.Uniform.range(name='range') b - a.

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.beta Scale parameter.

tf.contrib.distributions.MultivariateNormalFull.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='MultivariateNormalFull')

tf.contrib.distributions.InverseGamma.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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