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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.dtype The DType of Tensors handled by this

tf.contrib.distributions.Binomial.n Number of trials.

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

tf.contrib.distributions.Dirichlet.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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

tf.contrib.distributions.Multinomial.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.StudentT.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.MultivariateNormalFull.sigma Dense (batch) covariance matrix, if available.

tf.contrib.distributions.Mixture.mean(name='mean') Mean.