27 lines
1.3 KiB
Diff
27 lines
1.3 KiB
Diff
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From b274e3e2455df84a95ed34acd118dd72c5e14313 Mon Sep 17 00:00:00 2001
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From: dongjiao <dongjiao@kylinos.cn>
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Date: Tue, 11 Mar 2025 11:09:07 +0800
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Subject: [PATCH] scikit-learn-1.2 rename the parameter 'base_estimator' to
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'estimator'.
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---
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analysis/optimizer/weighted_ensemble_feature_selector.py | 2 +-
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1 file changed, 1 insertion(+), 1 deletion(-)
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diff --git a/analysis/optimizer/weighted_ensemble_feature_selector.py b/analysis/optimizer/weighted_ensemble_feature_selector.py
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index cb39561..4137fe4 100644
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--- a/analysis/optimizer/weighted_ensemble_feature_selector.py
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+++ b/analysis/optimizer/weighted_ensemble_feature_selector.py
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@@ -86,7 +86,7 @@ class WeightedEnsembleFeatureSelector:
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graboo = GradientBoostingRegressor(n_estimators=10000, learning_rate=0.1)
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adb = AdaBoostRegressor(DecisionTreeRegressor(max_depth=16),
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n_estimators=10000, random_state=0)
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- bag = BaggingRegressor(base_estimator=ExtraTreeRegressor(max_depth=16),
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+ bag = BaggingRegressor(estimator=ExtraTreeRegressor(max_depth=16),
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n_estimators=10000, random_state=0, n_jobs=-1)
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self._regressors = [dtree, ranfor, graboo, adb, bag]
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self._ensemble_model = Ridge(alpha=10, max_iter=1000000)
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--
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2.43.0
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