tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.clone()

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

2016-10-14 12:43:56
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed

2016-10-14 12:43:22
tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above()

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

2016-10-14 12:44:22
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss()

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')

2016-10-14 12:43:09
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.entropy(name='entropy')

2016-10-14 12:44:15
tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value()

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

2016-10-14 12:44:25
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type

2016-10-14 12:43:13
tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.

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

2016-10-14 12:44:25
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

2016-10-14 12:43:37
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.loss()

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.loss(final_loss, name='Loss')

2016-10-14 12:44:27