This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Some modelling tools

Project Description

Installation

Create your specific environment (with conda)

An empty one

conda create --name datasc python

From a existing one

You can check the list of current envs as follow

conda info --list

You can then clone the root env like this

conda create --name datasc --clone root

Activate your environment

source activate datasc

Install the mltoolkit library

From Binstar (Anaconda.org)

conda install -c https://conda.anaconda.org/tounnas -c https://conda.anaconda.org/auto mltoolkit

From source

conda install conda-build
git clone git@github.com:tounnas/mltoolkit.git
cd mltoolkit/_build
conda build .
conda install --use-local mltoolkit

Utilisation

Have a look to the examples folder

License

BSD

Documentation

The official documentation.

Release History

Release History

This version
History Node

0.1.0

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