tf.contrib.bayesflow.stochastic_tensor.UniformTensor.

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

2016-10-14 12:44:35
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.BinomialTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.dtype

2016-10-14 12:43:08
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.input_dict

2016-10-14 12:44:32
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy(name='entropy')

2016-10-14 12:43:17
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

2016-10-14 12:44:09
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.loss()

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

2016-10-14 12:44:00
tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

2016-10-14 12:42:59
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.clone()

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

2016-10-14 12:43:30
tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.distribution

2016-10-14 12:43:40