10 lines
546 B
Text
10 lines
546 B
Text
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CRFSuite is an implementation of Conditional Random Fields (CRFs) for
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labeling sequential data. The first priority of this software is to
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train and use CRF models as fast as possible even at the expense of
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its memory space and code generality. CRFsuite runs 5.4 - 61.8 times
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faster than C++ implementations for training. CRFsuite supports
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parameter estimation with L1 regularization (Laplacian prior) using
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Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2
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regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS)
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method.
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