Comments (4)
Thanks for reporting the issue! Will work on a resolution.
from quantile-forest.
hmm okay, I appreciate you for taking a look at this. I wasn't sure which side would be a more appropriate place to handle this, but I'll mark this one closed and pursue it on their end. Thanks again and take care!
from quantile-forest.
It appears that this issue falls under the scope of the skops project. As I understand you've also reported the issue there, I've created a fork of skops with the relevant changes needed to support saving and loading quantile-forest models and referenced your issue in the PR. It's not clear to me that supporting this package will be within the scope of skops, but we can continue to track the issue there.
from quantile-forest.
It's also worth mentioning that I did try using default values for all arguments to the __cinit__
method (thanks for the suggestion!), along with other small changes, but I haven't been able to find a fix in this package that fully rectifies the issue (i.e., even if the model loads without raising the above error, it's loaded incorrectly without updates directly to skops).
from quantile-forest.
Related Issues (8)
- Error when importing RandomForestQuantileRegressor on windows python 3.9.9 HOT 4
- Can you show me how the quantile is designed in this model? HOT 7
- Very large model size HOT 5
- quantile-forest not installable via poetry install on M1/M2 chip Macbooks HOT 3
- numpy error when using latest 1.1.0 release HOT 3
- Impossible to use quantile-forest against the dev version of scikit-learn HOT 4
- version.txt missing in PyPI's source distribution HOT 2
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