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

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

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.loss(final_loss, name='Loss')

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

tf.contrib.distributions.DirichletMultinomial.is_reparameterized

tf.contrib.distributions.Chi2WithAbsDf.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.DirichletMultinomial.event_shape(name='event_shape') Shape of a single sample from a single batch as

tf.contrib.distributions.Chi2.name Name prepended to all ops created by this Distribution.

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)