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

tf.SparseTensor.__str__()

tf.ones_like(tensor, dtype=None, name=None, optimize=True) Creates a tensor with all elements set to 1. Given

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

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.clone(name=None, **dist_args)

tf.contrib.distributions.TransformedDistribution.log_cdf(value, name='log_cdf') Log cumulative distribution function.

tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

tf.TextLineReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.SparseTensor.__init__(indices, values, shape) Creates a SparseTensor. Args:

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