Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[sklearn] Fix loading model attributes. (#9808)

Browse Source
This commit is contained in:
Jiaming Yuan
2023-11-27 17:19:01 +08:00
committed by GitHub
parent 3f4e22015a
commit e9f149481e
4 changed files with 48 additions and 42 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
tests/test_distributed/test_with_dask/test_with_dask.py
View File

@@ -1931,6 +1931,7 @@ class TestWithDask:
cls.client = client
cls.fit(X, y)
predt_0 = cls.predict(X)
proba_0 = cls.predict_proba(X)
with tempfile.TemporaryDirectory() as tmpdir:
path = os.path.join(tmpdir, "model.pkl")
@@ -1940,7 +1941,9 @@ class TestWithDask:
with open(path, "rb") as fd:
cls = pickle.load(fd)
predt_1 = cls.predict(X)
proba_1 = cls.predict_proba(X)
np.testing.assert_allclose(predt_0.compute(), predt_1.compute())
np.testing.assert_allclose(proba_0.compute(), proba_1.compute())
path = os.path.join(tmpdir, "cls.json")
cls.save_model(path)
@@ -1949,16 +1952,20 @@ class TestWithDask:
cls.load_model(path)
assert cls.n_classes_ == 10
predt_2 = cls.predict(X)
proba_2 = cls.predict_proba(X)
np.testing.assert_allclose(predt_0.compute(), predt_2.compute())
np.testing.assert_allclose(proba_0.compute(), proba_2.compute())
# Use single node to load
cls = xgb.XGBClassifier()
cls.load_model(path)
assert cls.n_classes_ == 10
predt_3 = cls.predict(X_)
proba_3 = cls.predict_proba(X_)
np.testing.assert_allclose(predt_0.compute(), predt_3)
np.testing.assert_allclose(proba_0.compute(), proba_3)
def test_dask_unsupported_features(client: "Client") -> None: