Inspired by: R, Matlab, orange
Author: Kirill Pavlov mailto:kirill.pavlov@phystech.edu
Documentation: https://pmll.readthedocs.org
Library aimed to bring simplicity to machime learning algorithms usage.
To install pmll
as package, simply run:
pip install pmll
If you want to develop it, use make
.
./setup.py test
or
nosetests
Title | Description | Established | License | #Developers | #codelines |
---|---|---|---|---|---|
bigml [code] | Machine learning easy by taking care of the details required to add data-driven decisions and predictive power to your company. | 2012-05-03 | Apache-2.0 | 6 | |
mdp [code] | Modular toolkit for Data Processing. | 2005-07-20 | BSD updated | 5 | |
milk [code] | Machine Learning Toolkit for Python. | 2008-10-14 | MIT | 6 | |
mlpy [code] | Python module for Machine Learning built on top of NumPy/SciPy and the GNU Scientific Libraries. | 2011-10-11 | GPLv3 | 6 | |
orange [code] | Data mining through visual programming or Python scripting. | 2003-03-21 | GPLv3 | 122 | |
pybrain [code] | Modular Machine Learning Library for Python. Mainly networks. | 2008-04-11 | BSD | 15 | |
pyml | Interactive object oriented framework for machine learning written in Python. PyML focuses on SVMs and other kernel methods. | 2010-06-17 | LGPLv2 | 1 | |
PyMVPA [code] | Multivariate Pattern Analysis in Python. | 2007-05-23 | MIT | 14 | |
scikit [code] | Machine learning in Python. | 2010-01-05 | BSD 3-Clause | 100 | |
Shogun [code] | Mainly SVM kernel methods. C++ and wrappers. machine learning powered by Vodka, Beer and Mate. | 2006-06-05 | GPLv3 | 56 |
- Machine learning libraries at sourceforge.
- Machine learning open source software.
- Related projects by Shogun
Data is stored in tab separated file. First line is header with field names and types. First line starts with sharp and space (# ). Then follows label:label_type [field:type]
Possible scale(field) types:
- nom: nominal value represented by string
- lin: float number in linear scale
- rank: float number, arithmetic operations are not supported
- bin: binary format, true/false or 1/0
Example:
# label:nom weight:lin heigth:lin
0 70 180