GridSearchCV使用“評分”來選擇最佳估算器.訓練GridSearchCV后,我希望看到每個組合的得分. GridSearchCV是否存儲每個參數組合的所有分數？如果它如何獲得分數？謝謝.
這是我在另一篇文章中使用的示例代碼.
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.grid_search import GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn.naive_bayes import MultinomialNB
X_train = ['qwe rtyuiop', 'asd fghj kl', 'zx cv bnm', 'qw erty ui op', 'as df ghj kl', 'zxc vb nm', 'qwe rt yu iop', 'asdfg hj kl', 'zx cvb nm',
'qwe rt yui op', 'asd fghj kl', 'zx cvb nm', 'qwer tyui op', 'asd fg hjk l', 'zx cv b nm', 'qw ert yu iop', 'as df gh jkl', 'zx cvb nm',
'qwe rty uiop', 'asd fghj kl', 'zx cvbnm', 'qw erty ui op', 'as df ghj kl', 'zxc vb nm', 'qwe rtyu iop', 'as dfg hj kl', 'zx cvb nm',
'qwe rt yui op', 'asd fg hj kl', 'zx cvb nm', 'qwer tyuiop', 'asd fghjk l', 'zx cv b nm', 'qw ert yu iop', 'as df gh jkl', 'zx cvb nm']
y_train = ['1', '2', '3', '1', '1', '3', '1', '2', '3',
'1', '2', '3', '1', '4', '1', '2', '2', '4',
'1', '2', '3', '1', '1', '3', '1', '2', '3',
'1', '2', '3', '1', '4', '1', '2', '2', '4']
parameters = {
'clf__alpha': (1e-1, 1e-2),
'vect__ngram_range': [(1,2),(1,3)],
'vect__max_df': (0.9, 0.98)
}
text_clf_Pipline_MultinomialNB = Pipeline([('vect', CountVectorizer()),
('tfidf', TfidfTransformer()),
('clf', MultinomialNB()),
])
gs_clf = GridSearchCV(text_clf_Pipline_MultinomialNB, parameters, n_jobs=-1)
gs_classifier = gs_clf.fit(X_train, y_train)
)
