def tune(dataset):
gram_train, gram_test = dataset.gram_train, dataset.gram_test
train_Y = dataset.train_Y
c_range = [0.0001, 0.5, 1, 5, 10, 100, 1000]
param_grid = dict(estimator__C=c_range)
svr = OneVsRestClassifier(SVC())
svr.weight = 'auto'
svr.kernel = 'precomputed'
grid = GridSearchCV(svr, param_grid, cv=5, scoring='accuracy')
grid.fit(gram_train, train_Y)
print()
print("Best parameters set found on development set:")
print()
print(grid.best_params_)
print("Grid best score:")
print()
print(grid.best_score_)
