Python: ‘SMOTE’ object has no attribute ‘_validate_data’ 如何解决???求大神
代码如下：
#过采样算法 import pandas as pd from imblearn.over_sampling import SMOTE from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import confusion_matrix from sklearn.model_selection import train_test_split
columns=data.columns X_columns=columns.delete(len(columns)-1) X=data.drop([‘target’],axis=1) y=data[‘target’] X_train,X_test,y_train,y_test=train_test_split(X, y, test_size=0.2, random_state=0)
oversample=SMOTE(random_state=0) X_os,y_os=oversample.fit_resample(X_train,y_train)
执行后: AttributeError Traceback (most recent call last) in () 1 oversample=SMOTE(random_state=0) ----> 2 X_os,y_os=oversample.fit_resample(X_train,y_train)
~\Anaconda3\lib\site-packages\imblearn\base.py in fit_resample(self, X, y) 75 check_classification_targets(y) 76 arrays_transformer = ArraysTransformer(X, y) —> 77 X, y, binarize_y = self.check_X_y(X, y) 78 79 self.sampling_strategy = check_sampling_strategy(
~\Anaconda3\lib\site-packages\imblearn\base.py in _check_X_y(self, X, y, accept_sparse) 132 accept_sparse = [“csr”, “csc”] 133 y, binarize_y = check_target_type(y, indicate_one_vs_all=True) –> 134 X, y = self._validate_data( 135 X, y, reset=True, accept_sparse=accept_sparse 136 )
AttributeError: ‘SMOTE’ object has no attribute ‘_validate_data’
