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

tf.contrib.distributions.Chi2WithAbsDf.is_continuous

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.mode(name='mode') Mode. Additional

tf.contrib.distributions.MultivariateNormalCholesky.__init__(mu, chol, validate_args=False, allow_nan_stats=True, name='MultivariateNormalCholesky')

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

tf.contrib.distributions.WishartFull.mode(name='mode') Mode.

tf.contrib.distributions.DirichletMultinomial.std(name='std') Standard deviation.

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

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

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