Impute missing values using Lightgbm
Project description
imputepy
Impute missing values using Lightgbm.
Installation
pip install imputepy
Features
- Identify Columns with Missing Values: Automatically detect columns in a DataFrame that have missing data.
- Find Missing Indices: Get the indices of missing values for targeted imputation.
- Categorical Column Detection: Identify potential categorical columns based on the count of unique values.
- Automated Imputation: Utilize LightGBM models to impute missing values, choosing between regression and classification based on the data type.
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
imputepy was created by Sam Fo. It is licensed under the terms of the MIT license.
Credits
imputepy was created with cookiecutter and the py-pkgs-cookiecutter template.
Download files
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Source Distribution
imputepy-0.1.3.tar.gz
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