Review fixes.

This commit is contained in:
Yuri Gorshenin 2016-03-14 15:33:14 +03:00 committed by Sergey Yershov
parent 95d18f17e6
commit 6bfa4af397

View file

@ -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)