tf.contrib.distributions.Dirichlet.variance(name='variance') Variance.

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

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

tf.contrib.distributions.Chi2.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.QuantizedDistribution.parameters Dictionary of parameters used by this Distribution.

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.