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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.__init__(n=1, stop_gradient=False) Sample n times and concatenate

class tf.errors.InvalidArgumentError Raised when an operation receives an invalid argument. This

tf.segment_mean(data, segment_ids, name=None) Computes the mean along segments of a tensor. Read

tf.contrib.graph_editor.bypass(sgv) Bypass the given subgraph by connecting its inputs to its outputs.

tf.sparse_segment_sqrt_n(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor divided by

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

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

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

tf.contrib.distributions.BernoulliWithSigmoidP.log_prob(value, name='log_prob') Log probability density/mass function (depending