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Is there a way to continue training a trained crf model?
For example, I trained a crf model using training data Corpus_A, and save the model as file crf.model.
Some days later, I get some extra training data as Corpus_B. Can I just load the trained crf.model and continue training with Corpus_B?
The text was updated successfully, but these errors were encountered:
I have the same question, and i try add model_filename as input, but it don't work. Anyone have solution? crf = sklearn_crfsuite.CRF( algorithm='lbfgs', c1=0.1, c2=0.1, max_iterations=MAX_ITER_TIME, all_possible_transitions=True, verbose=verbose, model_filename=init_model )
Is there a way to continue training a trained crf model?
For example, I trained a crf model using training data Corpus_A, and save the model as file crf.model.
Some days later, I get some extra training data as Corpus_B. Can I just load the trained crf.model and continue training with Corpus_B?
The text was updated successfully, but these errors were encountered: