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`np.NaN` was deprecated in the NumPy 2.0 release. Use `np.nan` instead. (#4917)

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Muspi Merol 2024-07-06 17:23:45 +08:00 committed by GitHub
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packages/xgboost/test_xgboost.py
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@ -231,7 +231,7 @@ def test_pandas_categorical(selenium):
assert transformed.columns[0].min() == 0 assert transformed.columns[0].min() == 0
# test missing value # test missing value
X = pd.DataFrame({"f0": ["a", "b", np.NaN]}) X = pd.DataFrame({"f0": ["a", "b", np.nan]})
X["f0"] = X["f0"].astype("category") # type: ignore[call-overload] X["f0"] = X["f0"].astype("category") # type: ignore[call-overload]
arr, _, _ = xgb.data._transform_pandas_df(X, enable_categorical=True) arr, _, _ = xgb.data._transform_pandas_df(X, enable_categorical=True)
assert not np.any(arr == -1.0) assert not np.any(arr == -1.0)