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

tf.contrib.distributions.Dirichlet.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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

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

tf.contrib.distributions.Chi2.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats

tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.

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

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

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