使用RandomForestRegressor时出现NotFittedError

Question

Python新手。我正在尝试运行具有5个功能和一个标签的简单随机森林模型，但是当我运行RandomForestRegressor时，出现一个NotFittedError（以下），我不理解。

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NotFittedError                            Traceback (most recent call last)
<ipython-input-86-b670604a6f52> in <module>()
----> 1 predictions = rf.predict(train_features)

/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/forest.py in predict(self, X)
    677             The predicted values.
    678         """
--> 679         check_is_fitted(self, 'estimators_')
    680         # Check data
    681         X = self._validate_X_predict(X)

/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py in check_is_fitted(estimator, attributes, msg, all_or_any)
    766 
    767     if not all_or_any([hasattr(estimator, attr) for attr in attributes]):
--> 768         raise NotFittedError(msg % {'name': type(estimator).__name__})
    769 
    770 

NotFittedError: This RandomForestRegressor instance is not fitted yet. Call 'fit' with appropriate arguments before using this method.

Answer 1

首先训练fit的{​​{1}}数据，然后训练model

predict