tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.graph
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.distribution
class tf.contrib.distributions.Multinomial Multinomial distribution. This distribution is parameterized by a vector p of probability parameters for k classes and n, the counts per each class..
tf.contrib.distributions.MultivariateNormalDiag.sigma_det(name='sigma_det') Determinant of covariance matrix.
class tf.contrib.distributions.BetaWithSoftplusAB Beta with softplus transform on a and b.
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