Module: contrib.crf

Module: tf.contrib.crf

Module tf.contrib.crf

Defined in tensorflow/contrib/crf/__init__.py.

Linear-chain CRF layer.

See the CRF (contrib) guide.

Classes

class CrfForwardRnnCell: Computes the alpha values in a linear-chain CRF.

Functions

crf_binary_score(...): Computes the binary scores of tag sequences.

crf_log_likelihood(...): Computes the log-likelihood of tag sequences in a CRF.

crf_log_norm(...): Computes the normalization for a CRF.

crf_sequence_score(...): Computes the unnormalized score for a tag sequence.

crf_unary_score(...): Computes the unary scores of tag sequences.

viterbi_decode(...): Decode the highest scoring sequence of tags outside of TensorFlow.

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/crf

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