tf.contrib.bayesflow.stochastic_tensor.UniformTensor.loss()

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

2016-10-14 12:44:34
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.DirichletTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

2016-10-14 12:43:22
tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

2016-10-14 12:44:12
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.MultivariateNormalFullTensor.clone()

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

2016-10-14 12:44:04
tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

2016-10-14 12:42:54
tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy()

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

2016-10-14 12:44:18
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

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

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

2016-10-14 12:43:25