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[breaking] Remove deprecated parameters in the skl interface. (#9986)

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This commit is contained in:
Jiaming Yuan
2024-01-15 20:40:05 +08:00
committed by GitHub
parent 2de85d3241
commit 0798e36d73
16 changed files with 418 additions and 462 deletions
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7
tests/python/test_training_continuation.py
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@@ -149,8 +149,8 @@ class TestTrainingContinuation:
from sklearn.datasets import load_breast_cancer
X, y = load_breast_cancer(return_X_y=True)
clf = xgb.XGBClassifier(n_estimators=2)
clf.fit(X, y, eval_set=[(X, y)], eval_metric="logloss")
clf = xgb.XGBClassifier(n_estimators=2, eval_metric="logloss")
clf.fit(X, y, eval_set=[(X, y)])
assert tm.non_increasing(clf.evals_result()["validation_0"]["logloss"])
with tempfile.TemporaryDirectory() as tmpdir:
@@ -160,5 +160,6 @@ class TestTrainingContinuation:
clf = xgb.XGBClassifier(n_estimators=2)
# change metric to error
clf.fit(X, y, eval_set=[(X, y)], eval_metric="error")
clf.set_params(eval_metric="error")
clf.fit(X, y, eval_set=[(X, y)], xgb_model=loaded)
assert tm.non_increasing(clf.evals_result()["validation_0"]["error"])