class tf.contrib.distributions.Poisson Poisson distribution. The Poisson distribution is parameterized

tf.contrib.distributions.Multinomial.pmf(value, name='pmf') Probability mass function. Args:

class tf.contrib.learn.BaseEstimator Abstract BaseEstimator class to train and evaluate TensorFlow models.

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

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch

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

Status tensorflow::PartialTensorShape::MergeWith(const PartialTensorShape &shape, PartialTensorShape *result) const Merges

tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on

tf.trace(x, name=None) Compute the trace of a tensor x. trace(x) returns