From 6bfa4af397a59f4ef0b74dff06af0f72f3bac9a8 Mon Sep 17 00:00:00 2001 From: Yuri Gorshenin Date: Mon, 14 Mar 2016 15:33:14 +0300 Subject: [PATCH] Review fixes. --- search/search_quality/scoring_model.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/search/search_quality/scoring_model.py b/search/search_quality/scoring_model.py index 66ee9ae815..0ae67c4445 100755 --- a/search/search_quality/scoring_model.py +++ b/search/search_quality/scoring_model.py @@ -94,7 +94,7 @@ def transform_data(data): relevances = np.array(data.ix[indices]['Relevance']) n, total = len(indices), 0 - for k, (i, j) in enumerate(itertools.combinations(range(n), 2)): + for _, (i, j) in enumerate(itertools.combinations(range(n), 2)): y = np.sign(relevances[j] - relevances[i]) if y == 0: continue @@ -118,7 +118,7 @@ def main(args): clf = svm.LinearSVC(random_state=args.seed) cv = cross_validation.KFold(len(y), n_folds=5, shuffle=True, random_state=args.seed) - # Let's find regularizer by a grid search. + # "C" stands for the regularizer constant. grid = {'C': np.power(10.0, np.arange(-5, 6))} gs = grid_search.GridSearchCV(clf, grid, scoring='accuracy', cv=cv) gs.fit(x, y)