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

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

class tf.contrib.distributions.Mixture Mixture distribution. The Mixture object implements

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

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

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

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

tf.contrib.distributions.DirichletMultinomial.alpha_sum Summation of alpha parameter.

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

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