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I want to use the sklearn AdaBoostRegressor with different base estimators. The general AdaBoost introduction does not help too much, since they use the DecisionTreeClassifier

Where do I find a list of all base possible base estimators?

Could I use a neural Network, too?

What qualifies the possible base estimators?

desertnaut
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Uwe.Schneider
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  • did you try passing a neural network, using that `base_estimator` parameter? what happened? – Shihab Shahriar Khan Nov 04 '19 at 12:12
  • Possible duplicate of [Can I use XGBoost to boost other models (eg. Naive Bayes, Random Forest)?](https://stackoverflow.com/questions/58572881/can-i-use-xgboost-to-boost-other-models-eg-naive-bayes-random-forest) (the *answer*, if not the question itself). – desertnaut Nov 04 '19 at 16:02

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Any Regressor model which depicts the sklearn's RegressorMixin() can be fed as the base estimator.

Yes, you can use neural network or simple linear regressor as base estimators.

Venkatachalam
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