Installing 'Category Encoders' Python Package Using Pip And Conda

You can install Category Encoders package from both Pip and Conda-forge.
But there is one subtle difference in the package in the two repositories. 

In PyPI, it is: category-encoders 



In Conda-forge, it is: category_encoders



Now with minimal env.yml:
Contents of the file:

name: cat_enc
channels:
  - conda-forge
dependencies:
  - scikit-learn
  - pandas
  - ipykernel
  - jupyterlab
  - category_encoders


Conda Commands

$ conda remove -n cat_enc --all
$ conda env create -f env.yml 
Collecting package metadata (repodata.json): done
Solving environment: done

Downloading and Extracting Packages
category_encoders-2. | 62 KB     | ### | 100% 
...
python-3.10.6        | 29.0 MB   | ### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate cat_enc
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Retrieving notices: ...working... done
(base) $ conda activate cat_enc
(cat_enc) $ python -m ipykernel install --user --name cat_enc
Installed kernelspec cat_enc in /home/ashish/.local/share/jupyter/kernels/cat_enc
(cat_enc) $ 

Tags: Technology,Machine Learning,