我需要应用网格搜索我有20000列和110000行的数据帧，我需要使用python的网格搜索模块调整我的参数
#validation for svm
#there are an error to check it ( grid search ne marche pas i will check why after)
label = df.Sentiment
train= df.drop('Sentiment', axis=1)
from sklearn.pipeline import Pipeline
text_clf = Pipeline([('tfidf', TfidfVectorizer()),
('clf', LinearSVC()),
])
from sklearn.model_selection import GridSearchCV
parameters = {'tfidf_min_df': [[0.8, 1.0], 1],
'tfidf__max_df': ([0.8, 1.0], 1),
'clf__c': (0.1, 1 , 10),
}
gs_clf = GridSearchCV(text_clf, parameters)
gs_clf = gs_clf.fit(trainas_matrix(), label)
我得到这个错误
------------------------------------------------- -------------------------- MemoryError Traceback(最近一次调用last)in()3 classif = SklearnClassifier(LinearSVC())4＃Séparationdu set de train et de test ----> 5 X_train，X_test，y_train，y_test = train_test_split(train.as_matrix()，label，test_size = 0.33)/usr/local/lib/python2.7/dist-packages/pandas as_matrix中的/ core/generic.pyc(self，columns)2832 self._consolidate_inplace()2833 if self._AXIS_REVERSED： - > 2834 return self._data.as_matrix(columns).T 2835 return self._data.as_matrix(columns)2836 as_matrix中的/usr/local/lib/python2.7/dist-packages/pandas/core/internals.pyc(self，items)3148返回mgr.blocks [0] .get_values()3149其他： - > 3150返回mgr . _interleave()3151 3152 def _interleave(self)：/ interleave中的/usr/local/lib/python2.7/dist-packages/pandas/core/internals.pyc(self)3157 dtype = _interleaved_dtype(self.blocks)3158 - > 3159 result = np.empty(self.shape，dtype = dtype)3160 3161 if result.shape [0] == 0：MemoryEr ROR：
)
