tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.dtype

tf.contrib.distributions.ExponentialWithSoftplusLam.survival_function(value, name='survival_function') Survival function.

tf.contrib.distributions.Multinomial.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.input_dict

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_continuous

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

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

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

tf.contrib.distributions.TransformedDistribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.distributions.Chi2WithAbsDf.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes