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Fix failing xgboost test in the cudf.pandas third-party integration tests #17616

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merged 7 commits into from
Dec 20, 2024
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Fix failing xgboost test in the cudf.pandas third-party integration tests #17616

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1a21a3e
Fix failing Xgboost test in the cudf.pandas third-party integration t…
Matt711 Dec 17, 2024
cf531ab
Merge branch 'branch-25.02' into bug/xgboost
Matt711 Dec 17, 2024
11d37f7
Update .github/workflows/pr.yaml
Matt711 Dec 18, 2024
a368262
Update python/cudf/cudf_pandas_tests/third_party_integration_tests/te…
Matt711 Dec 18, 2024
ea12b31
Update .github/workflows/pr.yaml
Matt711 Dec 19, 2024
f298569
Update .github/workflows/pr.yaml
Matt711 Dec 19, 2024
616b3cf
Update pr.yaml
Matt711 Dec 19, 2024
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8 changes: 5 additions & 3 deletions python/cudf/cudf_pandas_tests/third_party_integration_tests/tests/test_xgboost.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,9 +113,6 @@ def test_with_external_memory(
return predt


@pytest.mark.skip(
reason="TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly."
)
@pytest.mark.parametrize("device", ["cpu", "cuda"])
def test_predict(device: str) -> np.ndarray:
reg = xgb.XGBRegressor(n_estimators=2, device=device)
Expand All @@ -127,6 +124,11 @@ def test_predict(device: str) -> np.ndarray:
predt0 = reg.predict(X_df)

predt1 = booster.inplace_predict(X_df)
# After https://github.com/dmlc/xgboost/pull/11014, .inplace_predict()
# returns a real cupy array when called on a cudf.pandas proxy dataframe.
# So we need to ensure we have a valid numpy array.
if not isinstance(predt1, np.ndarray):
predt1 = predt1.get()
np.testing.assert_allclose(predt0, predt1)

predt2 = booster.predict(xgb.DMatrix(X_df))
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