tf.contrib.learn.monitors.PrintTensor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.learn.monitors.CheckpointSaver.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.value(name=None)

tf.contrib.distributions.InverseGamma.__init__(alpha, beta, validate_args=False, allow_nan_stats=True, name='InverseGamma') Construct

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.entropy(name='entropy')

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

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.value(name='value')

tf.contrib.distributions.Mixture.log_survival_function(value, name='log_survival_function') Log survival function.

tf.sparse_add(a, b, thresh=0) Adds two tensors, at least one of each is a SparseTensor. If

class tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor DirichletMultinomialTensor is a St