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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

tf.contrib.distributions.TransformedDistribution.transform Function transforming x => y.

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

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

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

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

tf.contrib.distributions.NormalWithSoftplusSigma.sigma Distribution parameter for standard deviation.

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

tf.nn.rnn_cell.LSTMStateTuple.c Alias for field number 0