tf.contrib.distributions.TransformedDistribution.log_survival_function(value, name='log_survival_function') Log survival function

tf.contrib.distributions.Gamma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

tf.contrib.distributions.Bernoulli.__init__(logits=None, p=None, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='Bernoulli')

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

tf.contrib.distributions.Poisson.__init__(lam, validate_args=False, allow_nan_stats=True, name='Poisson') Construct Poisson distributions

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

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

tf.contrib.distributions.WishartCholesky.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

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

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