Installing and running mlpy

According with the official website http://mlpy.sourceforge.net/, mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems. It is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability, and efficiency. Mlpy is multiplatform, it works with Python 2 and 3, and it is open source. Mlpy is distributed under the GNU General Public License Version 3.

We need the following requirements:

• GCC

• Numpy 1.7

• SciPy 0.12

• GSL 1.11

Installing and running mlpy on Ubuntu

First, we need to download the latest version for Linux from http://sourceforge.net/projects/mlpy/files/mlpy%203.5.0/.

Unzip and run the following command from the terminal:

$ sudo python3 setup.py install

Tip

The installation requires GSL 1.11 or greater. We can install the library from Ubuntu Software Center. We just need to look and install the GNU Scientific Library (GSL) development package.

To check whether everything is installed correctly, just open a Python shell and execute:

>>> import mlpy

Installing and running mlpy on Windows

First, we need to download the latest version for Windows from http://sourceforge.net/projects/mlpy/files/mlpy%203.5.0/.

Then execute the mlpy-3.5.0.win32-py3.2.exe file and follow the wizard as shown in the following screenshot:

Tip

The GSL library is precompiled (by Visual Studio Express 2008) and included in mlpy.

To check whether everything is installed correctly, just open a Python shell and execute the following command:

>>> import mlpy