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#6656 (comment)
The latest shap package appears to break when NumPy 1.19.5 is installed: https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/PR-6656/4/pipeline/221
shap
try: > from .. import _cext E ImportError: numpy.core.multiarray failed to import
For now, I'm pinning the NumPy version in our CI to 1.19.5, but this is not a permanent fix.
Note. Using shap from conda-forge also fixes the issue, but unfortunately conda-forge has an outdated version of shap.
The text was updated successfully, but these errors were encountered:
Also starts to appear with other major packages. Even Pandas 3.8 requires numpy > 1.20.0
https://github.com/pandas-dev/pandas/blob/master/pyproject.toml#L17
I would love to see numpy 1.20 be supported.
Sorry, something went wrong.
Could you please help check the SHAP package? I don't have a computer at hand this weekend.
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#6656 (comment)
The latest
shap
package appears to break when NumPy 1.19.5 is installed:https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/PR-6656/4/pipeline/221
For now, I'm pinning the NumPy version in our CI to 1.19.5, but this is not a permanent fix.
Note. Using
shap
from conda-forge also fixes the issue, but unfortunately conda-forge has an outdated version ofshap
.The text was updated successfully, but these errors were encountered: