Skip to main content
Help improve PyPI by participating in a 5-minute user interface survey!

Machine learning tool for regression.

Project Description

mltool is a simple Learning to Rank tool to build a regression tree based ranking model. Currently mltool supports simple CART and Random Forest. The implementation is strongly inspired by rt-rank, but it lacks the support of Gradient Boosting Regression Trees.

Overview

Features

Despite rt-rank, mltool provides:

  • A parameter to set the seed for the random number generator to make the training deterministic
  • Serializable model
  • Show feature information gain statistics at the end of the training
  • Can be used as an API

Some highlights compared to other Random Forest implemented for Python:

  • The implementation of the Random Forest makes use of numpy and it is quite optimized
  • Parallel Random Forest training

Installation

Install from PyPI using pip:

$ pip install mltool

Now you can run mltool:

$ mltool -h

Documentation

The documentation is hosted by Read the Docs at the following url: http://readthedocs.org/docs/mltool/en/latest/

Future

  • add support for Stochastic Gradient Boosting Regression Trees
  • add support for simple regression and/or classification (i.e. not just focus on ranking)

Release history Release notifications

This version
History Node

0.6

History Node

0.5.1b

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
mltool-0.6.tar.gz (9.8 kB) Copy SHA256 hash SHA256 Source None Apr 9, 2012

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page