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

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

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

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

tf.contrib.distributions.Chi2WithAbsDf.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

tf.contrib.distributions.InverseGamma.variance(name='variance') Variance. Additional documentation

tf.contrib.distributions.Chi2.entropy(name='entropy') Shanon entropy in nats. Additional documentation

tf.contrib.distributions.DirichletMultinomial.mean(name='mean') Mean.

tf.contrib.distributions.Chi2.cdf(value, name='cdf') Cumulative distribution function. Given random

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