tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.value()

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

2016-10-14 12:43:24
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

2016-10-14 12:44:08
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.mean(name='mean')

2016-10-14 12:43:21
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

2016-10-14 12:43:55
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.name

2016-10-14 12:44:06
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.

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

2016-10-14 12:44:33
tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.

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

2016-10-14 12:44:40
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