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sahil280114 revised this gist
Aug 15, 2018 . 1 changed file with 7 additions and 5 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,5 +1,7 @@ clf = Pipeline([("dct", DictVectorizer()), ("svc", LinearSVC())]) params = { "svc__C": [1e15, 1e13, 1e11, 1e9, 1e7, 1e5, 1e3, 1e1, 1e-1, 1e-3, 1e-5] } gs = GridSearchCV(clf, params, cv=10, verbose=2, n_jobs=-1) gs.fit(X, y) model = gs.best_estimator_ -
sahil280114 revised this gist
Aug 15, 2018 . 1 changed file with 0 additions and 1 deletion.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,4 +1,3 @@ features = np.vectorize(features) X = features(reviews[:, 1]) -
sahil280114 created this gist
Aug 15, 2018 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,6 @@ features = np.vectorize(features) X = features(reviews[:, 1]) y = reviews[:, 0]