tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.mean()

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

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

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

2016-10-14 12:44:16
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.

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

2016-10-14 12:43:39
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value()

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

2016-10-14 12:43:56
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.dtype

2016-10-14 12:43:17
tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.loss()

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

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.dtype

2016-10-14 12:43:11
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.clone()

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

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.graph

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

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

2016-10-14 12:44:32