[MRG] Add an example for ensemble.BaggingRegressor #15196
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adrinjalali
reviewed
Oct 15, 2019
sklearn/ensemble/bagging.py
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| ... random_state=0, shuffle=False) | ||
| >>> regr = BaggingRegressor(n_estimators=10, random_state=0).fit(X, y) | ||
| >>> regr.predict([[0, 0, 0, 0]]) | ||
| array([2.36503199]) |
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| array([2.36503199]) | |
| array([2.3650...]) |
sklearn/ensemble/bagging.py
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| >>> regr = BaggingRegressor(base_estimator=SVR(), | ||
| ... n_estimators=10, random_state=0).fit(X, y) | ||
| >>> regr.predict([[0, 0, 0, 0]]) | ||
| array([-2.87202411]) |
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| array([-2.87202411]) | |
| array([-2.8720...]) |
sklearn/ensemble/bagging.py
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| >>> regr = BaggingRegressor(n_estimators=10, random_state=0).fit(X, y) | ||
| >>> regr.predict([[0, 0, 0, 0]]) | ||
| array([2.36503199]) |
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you probably don't need this part, I'm happy to have only the SVR part.
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Ok, I also removed the second one from the BaggingClassifier example.
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adrinjalali
approved these changes
Oct 20, 2019
qinhanmin2014
approved these changes
Oct 21, 2019
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See also #3846
Implements a simple example/doctest for ensemble.BaggingRegressor and speeds up the test for ensemble.BaggingClassifier somewhat.
ping @adrinjalali