Carlos-Francisco Méndez-Cruz

Classification transcription factor structural domain sentences

...@@ -309,11 +309,11 @@ if __name__ == "__main__": ...@@ -309,11 +309,11 @@ if __name__ == "__main__":
309 for param in sorted(best_parameters.keys()): 309 for param in sorted(best_parameters.keys()):
310 oFile.write("\t%s: %r\n" % (param, best_parameters[param])) 310 oFile.write("\t%s: %r\n" % (param, best_parameters[param]))
311 if args.classifier == "SVM": 311 if args.classifier == "SVM":
312 - if args.kernel == "linear": 312 + # if args.kernel == "linear":
313 - oFile.write('\nWeights assigned to the features: \n') 313 + # oFile.write('\nWeights assigned to the features: \n')
314 - oFile.write("{}\n".format(myClassifier.best_estimator_.coef_)) 314 + # oFile.write("{}\n".format(myClassifier.best_estimator_.coef_))
315 - oFile.write('Confidence scores: \n') 315 + # oFile.write('Confidence scores: \n')
316 - oFile.write("{}\n".format(confidence_scores)) 316 + # oFile.write("{}\n".format(confidence_scores))
317 oFile.write('Number of support vectors per class: \n{}\n'.format(myClassifier.best_estimator_.n_support_)) 317 oFile.write('Number of support vectors per class: \n{}\n'.format(myClassifier.best_estimator_.n_support_))
318 oFile.write('Support vectors: \n{}\n'.format(myClassifier.best_estimator_.support_vectors_)) 318 oFile.write('Support vectors: \n{}\n'.format(myClassifier.best_estimator_.support_vectors_))
319 319
......