tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_continuous

tf.contrib.distributions.Beta.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.alpha Shape parameter.

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

tf.contrib.distributions.MultivariateNormalFull.entropy(name='entropy') Shanon entropy in nats.

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes

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

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

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