python imblearn make_pipeline typeerror:管道的最后一步应实现fit

我正试图在管道中实现IMB1RY的窒息。我的数据集是存储在熊猫数据框中的文本数据。请参见下面的代码段

text_clf =Pipeline([('vect', TfidfVectorizer()),('scale', StandardScaler(with_mean=False)),('smt', SMOTE(random_state=5)),('clf', LinearSVC(class_weight='balanced'))])

在此之后,我将使用gridsearchcv。

grid = GridSearchCV(text_clf, parameters, cv=4, n_jobs=-1, scoring = 'accuracy')

其中参数只不过是tfidfvector()的调整参数。我得到以下错误。

 All intermediate steps should be transformers and implement fit and transform. 'SMOTE

发布这个错误后,我将代码改为如下。

vect = TfidfVectorizer(use_idf=True,smooth_idf = True, max_df = 0.25, sublinear_tf = True, ngram_range=(1,2))
X = vect.fit_transform(X).todense()
Y = vect.fit_transform(Y).todense()
X_Train,X_Test,Y_Train,y_test = train_test_split(X,Y, random_state=0, test_size=0.33, shuffle=True)
text_clf =make_pipeline([('smt', SMOTE(random_state=5)),('scale', StandardScaler(with_mean=False)),('clf', LinearSVC(class_weight='balanced'))])
grid = GridSearchCV(text_clf, parameters, cv=4, n_jobs=-1, scoring = 'accuracy')

在哪里? parameters 只是调整而已 C 在里面 SVC 分类器。这次我遇到以下错误:

Last step of Pipeline should implement fit.SMOTE(....) doesn't

这是怎么回事?有人能帮忙吗?

from imblearn.over_sampling import SMOTE from imblearn.pipeline import Pipeline as imbPipeline # This doesn't work with sklearn.pipeline.Pipeline because # SMOTE doesn't have a .tranform() method. # (It has .fit_sample() or .sample().) pipe = imbPipeline([ ... ('oversample', SMOTE(random_state=5)), ('clf', LinearSVC(class_weight='balanced')) ])