我使用 scikit-learn 在 python 中创建了一个自定义模型，我想使用交叉验证。
模型的类定义如下：
class MultiLabelEnsemble:
''' MultiLabelEnsemble(predictorInstance, balance=False)
Like OneVsRestClassifier: Wrapping class to train multiple models when
several objectives are given as target values. Its predictor may be an ensemble.
This class can be used to create a one-vs-rest classifier from multiple 0/1 labels
to treat a multi-label problem or to create a one-vs-rest classifier from
a categorical target variable.
Arguments:
predictorInstance -- A predictor instance is passed as argument (be careful, you must instantiate
the predictor …