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

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value(name='value')

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

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.value_type

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.input_dict

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.clone(name=None, **dist_args)