Question

 ('clf', VotingClassifier(estimators=["pip1", "pip2", "pip3"])),
  File "C:\Python35\lib\site-packages\imblearn\pipeline.py", line 115, in __init__
    self._validate_steps()
  File "C:\Python35\lib\site-packages\imblearn\pipeline.py", line 139, in _validate_steps
    "(but not both) '%s' (type %s) doesn't)" % (t, type(t)))
TypeError: All intermediate steps of the chain should be estimators that implement fit and transform or sample (but not both) 'Pipeline(memory=None,
     steps=[('clf1', GradientBoostingClassifier(criterion='friedman_mse', init=None,
              learning_rate=0.1, loss='deviance', max_depth=3,
              max_features=None, max_leaf_nodes=None,
              min_impurity_decrease=0.0, min_impurity_split=None,
              min_samples_leaf=1, min_samples_split=2,
              min_weight_fraction_leaf=0.0, n_estimators=1000,
              presort='auto', random_state=7, subsample=1.0, verbose=0,
              warm_start=False))])' (type <class 'imblearn.pipeline.Pipeline'>) doesn't)

使用本地文件时，一切正常。当尝试使用远程文件时，我没有得到任何东西。我听说过相同的起源，但我想要一个解决方案。

感谢

如何使用ajax检索远程json文件

0 个答案: