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Deprecate use_label_encoder in XGBClassifier. (#7822)

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* Deprecate `use_label_encoder` in XGBClassifier.

* We have removed the encoder, now prepare to remove the indicator.
This commit is contained in:
Jiaming Yuan
2022-04-21 13:14:02 +08:00
committed by GitHub
parent 5815df4c46
commit 52d4eda786
8 changed files with 21 additions and 41 deletions
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6
tests/python/test_training_continuation.py
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@@ -152,16 +152,16 @@ class TestTrainingContinuation:
def test_changed_parameter(self):
from sklearn.datasets import load_breast_cancer
X, y = load_breast_cancer(return_X_y=True)
clf = xgb.XGBClassifier(n_estimators=2, use_label_encoder=False)
clf = xgb.XGBClassifier(n_estimators=2)
clf.fit(X, y, eval_set=[(X, y)], eval_metric="logloss")
assert tm.non_increasing(clf.evals_result()["validation_0"]["logloss"])
with tempfile.TemporaryDirectory() as tmpdir:
clf.save_model(os.path.join(tmpdir, "clf.json"))
loaded = xgb.XGBClassifier(use_label_encoder=False)
loaded = xgb.XGBClassifier()
loaded.load_model(os.path.join(tmpdir, "clf.json"))
clf = xgb.XGBClassifier(n_estimators=2, use_label_encoder=False)
clf = xgb.XGBClassifier(n_estimators=2)
# change metric to error
clf.fit(X, y, eval_set=[(X, y)], eval_metric="error")
assert tm.non_increasing(clf.evals_result()["validation_0"]["error"])