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Impute missing values using machine learning models

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.

Project details


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