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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.loss(final_loss, name=None)

2016-10-14 12:44:13
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.graph

2016-10-14 12:43:31
tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.dtype

2016-10-14 12:43:06
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.

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

2016-10-14 12:44:12
tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.entropy()

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

2016-10-14 12:43:49
tf.contrib.bayesflow.stochastic_tensor.NormalTensor

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

2016-10-14 12:44:07
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

2016-10-14 12:43:19
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict

2016-10-14 12:44:05
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.loss()

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

2016-10-14 12:43:21
tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.input_dict

2016-10-14 12:44:29