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@ -8,6 +8,7 @@ from doc_representation import *
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# TODO: understand normalization
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# TODO: mendel hall
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# TODO: wrap into an Estimator
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# TODO: check versions (numpy, scipy, sklearn)
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probability=True
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SVM = SVC
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@ -20,7 +21,7 @@ if SVM is SVC:
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path = '../testi'
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reader = LoadDocuments(split_documents=True, function_words_freq=True, tfidf=True, tfidf_feat_selection_ratio=0.1, split_policy=split_by_endline, normalize_features=True)
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reader = LoadDocuments(split_documents=True, function_words_freq=True, tfidf=False, tfidf_feat_selection_ratio=0.1, split_policy=split_by_endline, normalize_features=True)
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Xtr,ytr,ep1,ep2 = reader.load(path)
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# learn a SVM
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