tf.contrib.distributions.Beta.a_b_sum Sum of parameters.

tf.contrib.distributions.Dirichlet.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

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