This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description


Python Machine Learning Toolkit


pymltk is a Python package helping data scientists with their daily work of (pre)processing data and building predictive or other machine learning models. It offers various Python functions which implement common operations done by data scientists during their daily work.

All functions of this package …

  • … do one thing and (try to) do it well.
  • … operate on pandas as well as dask dataframes.
  • … are fully tested and documented.
  • … offer a clean and consistent UI.

This package was inspired by mlr, a R package which offers similar functionality with respect to data (pre)processing (but in addition offers a lot more).

Function Overview

  • parse_columns: Parsing features with a specified dtype.
  • parse_missings: Parsing specified values as missing values.
  • merge_levels: Merging levels/values of a feature depending on several criteria.
  • impute_missings: Imputing missing values based on several strategies.
  • remove_constants: Removing features with no/low variability.


Currently only the development version in this repository is available. In the future, a stable release on pypi is planned.


A detailed documentation of each function provided by pymltk is available on


Feature requests and bug reports are very welcome. Please open an issue in the github issue tracker of the respository of this project. Pull requests implementing new functionality are, of course, also welcome. Please open in addition also an issue for those.


pymltk is licensed under the Apache License Version 2.0. For details please see the file called LICENSE.


This project has been set up using PyScaffold 2.5.6. For details and usage information on PyScaffold see

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pymltk-0.1.tar.gz (22.0 kB) Copy SHA256 Checksum SHA256 Source Sep 20, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting