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[breaking] Remove label encoder deprecated in 1.3. (#7357)

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This commit is contained in:
Jiaming Yuan
2021-10-28 13:24:29 +08:00
committed by GitHub
parent d05754f558
commit 3c4aa9b2ea
7 changed files with 74 additions and 83 deletions
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24
tests/python-gpu/test_gpu_basic_models.py
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@@ -7,6 +7,7 @@ sys.path.append("tests/python")
# Don't import the test class, otherwise they will run twice.
import test_callback as test_cb # noqa
import test_basic_models as test_bm
import testing as tm
rng = np.random.RandomState(1994)
@@ -14,16 +15,12 @@ class TestGPUBasicModels:
cpu_test_cb = test_cb.TestCallbacks()
cpu_test_bm = test_bm.TestModels()
def run_cls(self, X, y, deterministic):
cls = xgb.XGBClassifier(tree_method='gpu_hist',
deterministic_histogram=deterministic,
single_precision_histogram=True)
def run_cls(self, X, y):
cls = xgb.XGBClassifier(tree_method='gpu_hist', single_precision_histogram=True)
cls.fit(X, y)
cls.get_booster().save_model('test_deterministic_gpu_hist-0.json')
cls = xgb.XGBClassifier(tree_method='gpu_hist',
deterministic_histogram=deterministic,
single_precision_histogram=True)
cls = xgb.XGBClassifier(tree_method='gpu_hist', single_precision_histogram=True)
cls.fit(X, y)
cls.get_booster().save_model('test_deterministic_gpu_hist-1.json')
@@ -49,19 +46,22 @@ class TestGPUBasicModels:
kClasses = 4
# Create large values to force rounding.
X = np.random.randn(kRows, kCols) * 1e4
y = np.random.randint(0, kClasses, size=kRows) * 1e4
y = np.random.randint(0, kClasses, size=kRows)
model_0, model_1 = self.run_cls(X, y, True)
model_0, model_1 = self.run_cls(X, y)
assert model_0 == model_1
@pytest.mark.skipif(**tm.no_sklearn())
def test_invalid_gpu_id(self):
X = np.random.randn(10, 5) * 1e4
y = np.random.randint(0, 2, size=10) * 1e4
from sklearn.datasets import load_digits
X, y = load_digits(return_X_y=True)
# should pass with invalid gpu id
cls1 = xgb.XGBClassifier(tree_method='gpu_hist', gpu_id=9999)
cls1.fit(X, y)
# should throw error with fail_on_invalid_gpu_id enabled
cls2 = xgb.XGBClassifier(tree_method='gpu_hist', gpu_id=9999, fail_on_invalid_gpu_id=True)
cls2 = xgb.XGBClassifier(
tree_method='gpu_hist', gpu_id=9999, fail_on_invalid_gpu_id=True
)
try:
cls2.fit(X, y)
assert False, "Should have failed with with fail_on_invalid_gpu_id enabled"