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mlxtras

mlxtras is a machine learning utility library for feature engineering, model validation, reporting, and MLflow experiment tracking. It provides reusable helpers for pandas, scikit-learn, LightGBM, and time-series workflows.

How it started

This library began back in 2023 as a personal side quest pointed by my mentor to learn Python packaging and how python projects are created. so I said why not desin it to help me iterate quickly on baselines, validate models, reuse my custom functions and track experiments.

Features

  • Feature selection and model validation utilities
  • Time series feature engineering and plotting helpers
  • Ensemble and reporting utilities
  • MLflow experiment logging helpers
  • Data validation and preprocessing tools

Installation

You can install mlxtras using pip:

pip install mlxtras

Acknowledgments

  • ChatGPT Handled documentations of our .md files most of the times.
  • Inspired by work at AirQo
  • Built on top of scikit-learn, pandas, and NumPy

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