tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name

2016-10-14 12:42:54
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

2016-10-14 12:43:38
tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

2016-10-14 12:44:20
tf.contrib.bayesflow.stochastic_tensor.SampleValue.

tf.contrib.bayesflow.stochastic_tensor.SampleValue.__init__(n=1, stop_gradient=False) Sample n times and concatenate

2016-10-14 12:44:22
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor

class tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor DirichletMultinomialTensor is a St

2016-10-14 12:43:19
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.value()

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

2016-10-14 12:43:19
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.loss()

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

2016-10-14 12:43:58
tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.clone()

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

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

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.input_dict

2016-10-14 12:43:50
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.dtype

2016-10-14 12:44:15