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Orange 2.7.2

Orange, a component-based data mining framework.

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for Python programming language.

Installing

To build and install Orange run:

python setup.py build
python setup.py install

from the command line. You can customize the build process by editing the setup-site.cfg file in this directory (see the comments in that file for instructions on how to do that).

Running tests

After Orange is installed, you can check if everything is working OK by running the included tests:

python setup.py test

This command runs all the unit tests and documentation examples. Some of the latter have additional dependencies you can satisfy by installing matplotlib, PIL and scipy.

Starting Orange Canvas

Start orange canvas from the command line with:

orange-canvas

Installation for Developers

To install in development mode run:

python setup.py develop
 
File Type Py Version Uploaded on Size
Orange-2.7.2-cp27-none-win32.whl (md5) Python Wheel 2.7 2013-11-06 6MB
Orange-2.7.2-py2.7-win32.egg (md5) Python Egg 2.7 2013-11-06 6MB
Orange-2.7.2.tar.gz (md5) Source 2013-11-06 12MB
Orange-2.7.2.win32-py2.7.exe (md5) MS Windows installer 2.7 2013-11-06 6MB
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