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... | @@ -212,10 +212,11 @@ if __name__ == "__main__": | ... | @@ -212,10 +212,11 @@ if __name__ == "__main__": |
212 | # Fixed parameters | 212 | # Fixed parameters |
213 | crf = sklearn_crfsuite.CRF( | 213 | crf = sklearn_crfsuite.CRF( |
214 | algorithm='lbfgs', | 214 | algorithm='lbfgs', |
215 | - c1=0.1, | 215 | + #c1=0.1, |
216 | - c2=0.1, | 216 | + #c2=0.1, |
217 | - max_iterations=100, | 217 | + max_iterations=100 |
218 | - all_possible_transitions=True | 218 | + #, |
219 | + #all_possible_transitions=True | ||
219 | ) | 220 | ) |
220 | 221 | ||
221 | # Original: labels = list(crf.classes_) | 222 | # Original: labels = list(crf.classes_) |
... | @@ -237,9 +238,10 @@ if __name__ == "__main__": | ... | @@ -237,9 +238,10 @@ if __name__ == "__main__": |
237 | oFile.write("********** TRAINING AND TESTING REPORT **********\n") | 238 | oFile.write("********** TRAINING AND TESTING REPORT **********\n") |
238 | oFile.write("Training file: " + options.trainingFile + '\n') | 239 | oFile.write("Training file: " + options.trainingFile + '\n') |
239 | oFile.write('\n') | 240 | oFile.write('\n') |
241 | + oFile.write("Model: {}".format(crf)) | ||
240 | #oFile.write('best params:' + str(crf.best_params_) + '\n') | 242 | #oFile.write('best params:' + str(crf.best_params_) + '\n') |
241 | - oFile.write('best CV score:' + str(crf.best_score_) + '\n') | 243 | + #oFile.write('best CV score:' + str(crf.best_score_) + '\n') |
242 | - oFile.write('model size: {:0.2f}M\n'.format(crf.best_estimator_.size_ / 1000000)) | 244 | + #oFile.write('model size: {:0.2f}M\n'.format(crf.best_estimator_.size_ / 1000000)) |
243 | 245 | ||
244 | print("Training done in: %fs" % (time() - t0)) | 246 | print("Training done in: %fs" % (time() - t0)) |
245 | t0 = time() | 247 | t0 = time() | ... | ... |
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