tf.contrib.bayesflow.stochastic_tensor.value_type(dist_value_type) Creates a value type context for any StochasticTensor created

tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

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

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

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

tf.contrib.distributions.DirichletMultinomial.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

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

tf.contrib.distributions.Categorical.__init__(logits, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='Categorical') Initialize

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype