PMMLForestClassifier not generating a pmml attribute

[cornejom]

Description

The Random Forest example in the main README.md file fails. More specifically, the last two commands fail:

clf.predict(Xte)
clf.score(Xte, yte)

Steps/Code to Reproduce

I simply ran the example. The error messages for the last two commands both end in:

File "<my_path>\lib\site-packages\sklearn_pmml_model\base.py", line 159, in _prepare_data
raise Exception('The features in the input data do not match features expected by the PMML model.')
Exception: The features in the input data do not match features expected by the PMML model.

I then checked the value of the classifier with print(clf). It seemed to have a missing attribute, giving error message ending in:

File "<my_path>\lib\site-packages\sklearn\base.py", line 170, in get_params
value = getattr(self, key)
AttributeError: 'PMMLForestClassifier' object has no attribute 'pmml'

I also noticed the following, but not sure if it's related to the problem.
clf.base_estimator

'deprecated'

Versions

Windows-10-10.0.14393-SP0
Python 3.10.5 (tags/v3.10.5:f377153, Jun 6 2022, 16:14:13) [MSC v.1929 64 bit (AMD64)]
NumPy 1.23.0
SciPy 1.8.1
Scikit-Learn 1.2.1
sklearn-pmml-model 1.0.1

[iamDecode]

Sorry for missing this issue. Quite a while back I addressed this issue, and all examples work fine atm. This was likely due to the project not being cythonized in a local environment. If this happens again, you can try python setup.py build_ext --inplace to ensure the cythonized files are build and placed in the right directory. Since this issue is stale and likely already fixed, im closing this issue. If this is somehow still an issue please open a new issue for it :).