AttributeError: 'PolynomialFeatures' object has no attribute 'get_feature_names'

[karynaur]

Description

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[5], [line 1]
----> [1] metamodel = symbolic_metamodel(model, X_train)
      [3] metamodel.fit(num_iter=10, batch_size=X_train.shape[0], learning_rate=.01)

File ~/projects/BERTerpret/symbolic_metamodeling/pysymbolic/algorithms/symbolic_metamodeling.py:154, in symbolic_metamodel.__init__(self, model, X, mode)
    [152] self.X                = X
    [153] self.X_new            = self.feature_expander.fit_transform(X) 
--> [154] self.X_names          = self.feature_expander.get_feature_names()
    [156] if mode == "classification": 
    [158]     self.Y                = model.predict_proba(self.X)[:, 1]

AttributeError: 'PolynomialFeatures' object has no attribute 'get_feature_names'

How to Reproduce

1. Go to this notebook
2. Run all cells up until cell no. 5
3. The error will appear at metamodel = symbolic_metamodel(model, X_train)

Reason

The class PolynomialFeatures does not contain the function get_feature_names, it has been renamed to get_feature_names_out in scikit-learn==1.6.1

System Information

• OS: Ubuntu
• OS Version: Ubuntu 24.04.1 LTS
• Language Version: Python 3.12.3
• Package Manager Version: pip 24.0