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A powerful Automated Machine Learning python library.

Project description

Documentation Status PyPI version Build Status Windows Build Status GitHub Issues codecov License

Compatibilities

  • It is compatible with: Python 2.7, 3.4 - 3.6. & 64-bit version only (32-bit python is not supported)
  • Operating system: Linux. (MacOS & Windows very soon…)

Preparation

First, make sure you have setuptools installed. Since MLBox package contains C++ source code, check that the following requirements are installed:

$ sudo apt-get install build-essential
$ pip install cmake

Installation

Install from pip

MLBox is now available on PyPI, so you only need to run the following command:

$ pip install mlbox

Install from the Github

  • The sources for MLBox can be downloaded from the Github repo.

    • You can either clone the public repository:
    $ git clone git://github.com/AxeldeRomblay/mlbox
    
    $ curl  -OL https://github.com/AxeldeRomblay/mlbox/tarball/master
    
  • Once you have a copy of the source, you can install it using setup.py :

    $ cd python-package/
    $ python setup.py install
    

Project details


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0.5.3

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Filename, size & hash SHA256 hash help File type Python version Upload date
mlbox-0.5.3.tar.gz (32.1 kB) Copy SHA256 hash SHA256 Source None Oct 11, 2017

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