Closed joeanton719 closed 3 years ago
I found a workaround. I think using feature engineering transformers within the pipeline for the model was creating the problem. To solve this, I just created a separate dataset, applied the feature engineering transformations to the dataset, and used that for the sfs inputs.
Glad you solved the issue/found out what the root cause was. If there's still an issue with the SFS, please don't hesitate to reopen
Describe the bug
I am trying to select the right features for a regression problem using bi-directional feature selection. When I run the program I get the following error.
Steps/Code to Reproduce
Expected Results
Actual Results
Versions
MLxtend 0.18.0 Windows-10-10.0.19041-SP0 Python 3.8.5 (default, Sep 3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)] Scikit-learn 0.24.2 NumPy 1.19.5 SciPy 1.5.2