A powerful Automated Machine Learning python library
Project description
MLBox, Machine Learning Box
===========================
__MLBox is a powerful Automated Machine Learning python library.__
_It is compatible with:_ **Python 2.7 - 3.6**. & **64-bit version only** (32-bit python is not supported) <br/>
_Operating system:_ **Linux**. (MacOS & Windows very soon...)
## Preparation
First, make sure you have [setuptools](https://pypi.python.org/pypi/setuptools) installed. <br/>
Since MLBox package contains C++ source code, check that the following requirements are installed, otherwise please proceed below:
* **[gcc](https://gcc.gnu.org/)**
.. code-block:: console
$ sudo apt-get install build-essential
* **[cmake](https://cmake.org/)** :
.. code-block:: console
$ pip install cmake
## Stable version
To get it installed for Python 3, please refer to branch [**"3.0-dev"**](https://github.com/AxeldeRomblay/MLBox/tree/3.0-dev). Otherwise, please read the following instructions:
* **The sources for MLBox can be downloaded** from the `Github repo`_.
* You can either clone the public repository:
.. code-block:: console
$ git clone git://github.com/AxeldeRomblay/mlbox
* Or download the `tarball`_:
.. code-block:: console
$ curl -OL https://github.com/AxeldeRomblay/mlbox/tarball/master
* Once you have a copy of the source, **you can install it:**
* Using setup.py:
.. code-block:: console
$ cd python-package/
$ python setup.py install
* Or directly, from the wheel:
.. code-block:: console
$ cd python-package/dist/
$ pip install *.whl
.. _Github repo: https://github.com/AxeldeRomblay/mlbox
.. _tarball: https://github.com/AxeldeRomblay/mlbox/tarball/master
## Dev version
A 2.3 dev-version for MLBox is also available on the branch [**"2.3-dev"**](https://github.com/AxeldeRomblay/MLBox/tree/2.3-dev) ! It provides some interesting new features. Please refer to [HISTORY](https://github.com/AxeldeRomblay/MLBox/blob/master/HISTORY.rst). __It depends on sklearn-0.19.dev0 which is not a stable version at the moment.__
.. include:: ../HISTORY.rst
===========================
__MLBox is a powerful Automated Machine Learning python library.__
_It is compatible with:_ **Python 2.7 - 3.6**. & **64-bit version only** (32-bit python is not supported) <br/>
_Operating system:_ **Linux**. (MacOS & Windows very soon...)
## Preparation
First, make sure you have [setuptools](https://pypi.python.org/pypi/setuptools) installed. <br/>
Since MLBox package contains C++ source code, check that the following requirements are installed, otherwise please proceed below:
* **[gcc](https://gcc.gnu.org/)**
.. code-block:: console
$ sudo apt-get install build-essential
* **[cmake](https://cmake.org/)** :
.. code-block:: console
$ pip install cmake
## Stable version
To get it installed for Python 3, please refer to branch [**"3.0-dev"**](https://github.com/AxeldeRomblay/MLBox/tree/3.0-dev). Otherwise, please read the following instructions:
* **The sources for MLBox can be downloaded** from the `Github repo`_.
* You can either clone the public repository:
.. code-block:: console
$ git clone git://github.com/AxeldeRomblay/mlbox
* Or download the `tarball`_:
.. code-block:: console
$ curl -OL https://github.com/AxeldeRomblay/mlbox/tarball/master
* Once you have a copy of the source, **you can install it:**
* Using setup.py:
.. code-block:: console
$ cd python-package/
$ python setup.py install
* Or directly, from the wheel:
.. code-block:: console
$ cd python-package/dist/
$ pip install *.whl
.. _Github repo: https://github.com/AxeldeRomblay/mlbox
.. _tarball: https://github.com/AxeldeRomblay/mlbox/tarball/master
## Dev version
A 2.3 dev-version for MLBox is also available on the branch [**"2.3-dev"**](https://github.com/AxeldeRomblay/MLBox/tree/2.3-dev) ! It provides some interesting new features. Please refer to [HISTORY](https://github.com/AxeldeRomblay/MLBox/blob/master/HISTORY.rst). __It depends on sklearn-0.19.dev0 which is not a stable version at the moment.__
.. include:: ../HISTORY.rst
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