tf.contrib.distributions.MultivariateNormalFull.pdf(value, name='pdf') Probability density function. Args:

tf.complex_abs(x, name=None) Computes the complex absolute value of a tensor. Given a tensor x

tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

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

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

tf.contrib.distributions.WishartFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

tf.argmin(input, dimension, name=None) Returns the index with the smallest value across dimensions of a tensor.

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

tf.contrib.distributions.MultivariateNormalDiag.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix.