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[MRG] FIX use a stump as base estimator in RUSBoostClassifier #545

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Merged
merged 7 commits into from
Jun 11, 2019
Merged

[MRG] FIX use a stump as base estimator in RUSBoostClassifier #545

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0685603
Use a stump as base estimator in RUSBoostClassifier
Feb 15, 2019
cd4e0bd
Call super _validate_estimator to set the default estimator
Feb 15, 2019
810e1e9
make pep8speaks happy
Feb 15, 2019
02c3f1d
Fix test
Feb 23, 2019
fa8008b
Merge remote-tracking branch 'origin/master' into rusboost_default_es…
glemaitre Jun 11, 2019
b960ec7
iter
glemaitre Jun 11, 2019
e7b4356
PEP8
glemaitre Jun 11, 2019
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Fix test
  • Loading branch information
chkoar committed Feb 23, 2019
commit 02c3f1d85c1f048fcc5029ea3544af312072d154
4 changes: 3 additions & 1 deletion imblearn/ensemble/tests/test_weight_boosting.py
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Expand Up @@ -33,7 +33,9 @@ def test_balanced_random_forest_error(imbalanced_dataset, boosting_params,
@pytest.mark.parametrize('algorithm', ['SAMME', 'SAMME.R'])
def test_rusboost(imbalanced_dataset, algorithm):
X, y = imbalanced_dataset
X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y)
X_train, X_test, y_train, y_test = train_test_split(X, y,
stratify=y,
random_state=1)
classes = np.unique(y)

n_estimators = 500
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