tf.contrib.distributions.DirichletMultinomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value_type

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

class tf.contrib.rnn.GRUBlockCell Block GRU cell implementation. The implementation is based on:

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

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

tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized

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

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