tf.contrib.distributions.Beta.entropy(name='entropy') Shanon entropy in nats.

tf.summary.tensor_summary(display_name, tensor, description='', labels=None, collections=None, name=None) Outputs a Summary

tf.SparseTensorValue.shape Alias for field number 2

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

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

tf.contrib.bayesflow.stochastic_tensor.MeanValue.popped_above(unused_value_type)

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

tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x.

size_t tensorflow::Tensor::BufferHash() const

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