BayesFlow Stochastic Tensors
BayesFlow Stochastic Tensors (contrib)
Classes and helper functions for creating Stochastic Tensors.
StochasticTensor
objects wrap Distribution
objects. Their values may be samples from the underlying distribution, or the distribution mean (as governed by value_type
). These objects provide a loss
method for use when sampling from a non-reparameterized distribution. The loss
method is used in conjunction with stochastic_graph.surrogate_loss
to produce a single differentiable loss in stochastic graphs having both continuous and discrete stochastic nodes.
Stochastic Tensor Classes
tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor
tf.contrib.bayesflow.stochastic_tensor.StochasticTensor
Stochastic Tensor Value Types
tf.contrib.bayesflow.stochastic_tensor.MeanValue
tf.contrib.bayesflow.stochastic_tensor.SampleValue
tf.contrib.bayesflow.stochastic_tensor.value_type
tf.contrib.bayesflow.stochastic_tensor.get_current_value_type
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_guides/python/contrib.bayesflow.stochastic_tensor