VariationalEvaluation¶
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class
tfsnippet.VariationalEvaluation(vi)¶ Bases:
objectFactory for variational evaluation outputs.
Methods Summary
importance_sampling_log_likelihood([name])Compute \(log p(x)\) by importance sampling. is_loglikelihood([name])Short-cut for importance_sampling_log_likelihood().Methods Documentation
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importance_sampling_log_likelihood(name=None)¶ Compute \(log p(x)\) by importance sampling.
Parameters: name (str) – TensorFlow name scope of the graph nodes. (default “importance_sampling_log_likelihood”) Returns: The per-data \(log p(x)\). Return type: tf.Tensor See also
zhusuan.evaluation.is_loglikelihood()
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is_loglikelihood(name=None)¶ Short-cut for
importance_sampling_log_likelihood().
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