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tfidf_transformer = TfidfTransformer() + x_tfidf = tfidf_transformer.fit_transform(x_vectorizer) + + clf = KNeighborsClassifier(n_neighbors = 8).fit(x_tfidf, y) + + dev0 = pd.read_csv("dev-0/in.tsv.xz", sep="\t", header=None, names=["document","date"], error_bad_lines = False)["document"] + testA = pd.read_csv("test-A/in.tsv.xz", sep="\t", header=None, names=["document","date"], error_bad_lines = False)["document"] + + dev0_vectorizer = vectorizer.transform(dev0) + dev0_tfidf = tfidf_transformer.transform(dev0_vectorizer) + testA_vectorizer = vectorizer.transform(testA) + testA_tfidf = tfidf_transformer.transform(testA_vectorizer) + + y_dev = clf.predict_proba(dev0_tfidf) + y_test = clf.predict_proba(testA_tfidf) + + np.savetxt('test-A/out.tsv', y_test, '%f') + np.savetxt('dev-0/out.tsv', y_dev, '%f') + +program() diff --git a/test-A/out.tsv b/test-A/out.tsv index 175867d..d5c9df4 100644 --- a/test-A/out.tsv +++ b/test-A/out.tsv @@ -1,5152 +1,5152 @@ -0.348637 -0.857224 -0.002355 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