from mlxtend.feature_selection import SequentialFeatureSelector as SFS
xgboost分类器
XGB = xgboost.XGBClassifier(num_class = 3)
设置要素选择
SFSres = SFS(XGB, k_features=8,cv=5)
尝试传递特征选择的类权重
SFSres = SFSres.fit(train_data, train_labels, fit_params={'sample_weight':weights})
结果
TypeError: fit() got an unexpected keyword argument 'fit_params'
如何将类权重传递给特征选择
决定:
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