tf.contrib.bayesflow.stochastic_tensor.MeanValue.pushed_above()

tf.contrib.bayesflow.stochastic_tensor.MeanValue.pushed_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor

class tf.contrib.bayesflow.stochastic_tensor.MixtureTensor MixtureTensor is a StochasticTensor backed by the distribution Mixture.

tf.contrib.bayesflow.stochastic_tensor.MeanValue.stop_gradient

tf.contrib.bayesflow.stochastic_tensor.MeanValue.stop_gradient

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

tf.contrib.bayesflow.stochastic_tensor.MeanValue.__init__(stop_gradient=False)

tf.contrib.bayesflow.stochastic_tensor.MeanValue.popped_above()

tf.contrib.bayesflow.stochastic_tensor.MeanValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.MeanValue

class tf.contrib.bayesflow.stochastic_tensor.MeanValue

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

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MeanValue.declare_inputs()

tf.contrib.bayesflow.stochastic_tensor.MeanValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.graph

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.graph