As far as I know, this python tool-kit maybe the most widely used machine learning lib. Let start from installing it.
All instructions are listed on:
All packages, installers can be found here:
http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn
I am now working on windows 8, 64 bit. So the sequence of installation is like this:
1. numpy-MKL, which is a package for numerical computation with python.
2. scipy, which is another package for science computation with python, depends on numpy-MKL. And Matplotlib.
3. six->Python-Dateutil->pytz->Pyparsing->(pillow->pycairo->Tornado->Pyside->pyqt), the libs enbraced are optionally required.
4. scikit-learn
Done!!
If you wanna test this new tool, need to install another package:
https://nose.readthedocs.org/en/latest/
download the tar.gz file, release, and type in "python setup.py install"
A Chinese webpage to summarize some open-source lib of machine learning:
http://blog.csdn.net/h349117102/article/details/15029777
I realize the better way to install those libraries is to use the "easy-install" which is a tool of python, as usual located in %PythonDir%/script/. This tool allows you to install any lib using "easy-install lib_name", so easy that really is worthy its name.
Another alternative is to install some pre-build distribution. I tested the "Pythonxy". Note that you need to restart your command prompt if you want those system variables in effect.
https://code.google.com/p/pythonxy/
