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I encountered an issue when trying to use the get_model_data function to extract model data from an ExplainableBoostingClassifier instance with monotonized features.
Steps to Reproduce:
Fit an ExplainableBoostingClassifier instance.
Apply the monotonize method for one of the features.
Attempt to extract the model data using get_model_data.
Expected Behavior:
The function should return the model data successfully.
Actual Behavior:
The function fails with a TypeError in this line, and upon further investigation, I noticed that the entry in ebm.standard_deviations_ for the feature I applied monotonize to is being set to None.
Workaround:
Currently, I'm manually replacing the None value with a placeholder value, but I believe this should be handled gracefully by the library itself.
Please let me know if any further information is required or if there's a known solution to this problem.
Thanks in advance for your help.
Best,
Krzysztof
The text was updated successfully, but these errors were encountered:
Hello,
I encountered an issue when trying to use the
get_model_data
function to extract model data from anExplainableBoostingClassifier
instance with monotonized features.Steps to Reproduce:
ExplainableBoostingClassifier
instance.monotonize
method for one of the features.get_model_data
.Expected Behavior:
The function should return the model data successfully.
Actual Behavior:
The function fails with a
TypeError
in this line, and upon further investigation, I noticed that the entry inebm.standard_deviations_
for the feature I appliedmonotonize
to is being set toNone
.Workaround:
Currently, I'm manually replacing the
None
value with a placeholder value, but I believe this should be handled gracefully by the library itself.Please let me know if any further information is required or if there's a known solution to this problem.
Thanks in advance for your help.
Best,
Krzysztof
The text was updated successfully, but these errors were encountered: