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Sumudu Tennakoon edited this page Sep 3, 2019 · 2 revisions

The MLToolKit Project

Introduction

MLToolKit Project started by Sumudu Tennakoon as independent research and development project (weekend project) to create integrated toolkit to facilitate the process of building machine learning applications. Components of the project was developed over a period of one year while Sumudu exploring methods and python tools in data science and taking number of refresher courses in machine learning/data science. MLToolKit (mltk) is a Python package providing a set of user-friendly functions to help building end-to-end machine learning models in data science research, teaching or production focused projects. MLToolKit supports all stages of the machine learning application development process. MLToolKit is released under Apache License, Version 2.0. The current version is 0.1.7.

History

  • 2018-07-02 [v0.0.1]: Initial set of functions for data exploration, model building and model evaluation was published to Github. (https://github.com/sptennak/MachineLearning).
  • 2018-01-03 [v0.0.2]: Created more functions for data exploration including web scraping and geo spacial data analysis for for IBM Coursera Data Science Capstone Project was published to Github. (https://github.com/sptennak/Coursera_Capstone).
  • 2019-03-20 [v0.1.0]: Developed and published initial version of model building and serving framework for IBM Coursera Advanced Data Science Professional Certificate Capstone Project. (https://github.com/sptennak/IBM-Coursera-Advanced-Data-Science-Capstone).
  • 2019-07-02 [v0.1.2]: First release of the PyMLToolkit Python package, a collection of clases and functions facilitating end-to-end machine learning model building and serving over RESTful API.
  • 2019-07-04 [v0.1.3]: Minor bug fixes.
  • 2019-07-14 [v0.1.4]: Improved documentation, Integrated TensorFlow Models, Enhancements and Minor bug fixes.
  • 2019-07-28 [v0.1.5]: Integrated CatBoost Models, Improved model building and serving frameework, text analytics functions, support JSON input/output to the ML model bulding and scoring processes, Enhancements and bug fixes.
  • 2019-08-12[v0.1.6]: Improved Features, Bug Fixes, Enhanced JSON input/output to the ML model bulding and scoring processes (JSON-MLS) and bug fixes.
  • 2019-08-31 [v0.1.7] : Added more data processing functions, Enhanced output formats, Enhanced model deployment, Overall improvements and bug fixes.

Cite As

@misc{mltk2019,
  author =  "Sumudu Tennakoon",
  title = "MLToolKit(mltk): A Simplified Toolkit for End-To-End Machine Learing Projects",
  year = 2019,
  publisher = "GitHub",
  howpublished = {\url{https://mltoolkit.github.io/mltk/}},
  version = "0.1.7"
}

Reference

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