tf.contrib.bayesflow.stochastic_tensor.GammaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.entropy()

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

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.clone()

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

tf.contrib.bayesflow.stochastic_tensor.GammaTensor

class tf.contrib.bayesflow.stochastic_tensor.GammaTensor GammaTensor is a StochasticTensor backed by the distribution Gamma.

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.__init__()

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.value()

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.name

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.name