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Orange

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


Recent activity

Aleš Erjavec pushed 2 commits to biolab/orange

d95a255 - Fixed an AttributeError in Edit Domain widget.
a5fbbe6 - Attempt to recreate the shelve dbm if importing the current implementation fails.

fix function naming to match the files

fix function naming to match the files

Tip: Filter by directory path e.g. /media app.js to search for public/media/app.js.
Tip: Use camelCasing e.g. ProjME to search for ProjectModifiedEvent.java.
Tip: Filter by extension type e.g. /repo .js to search for all .js files in the /repo directory.
Tip: Separate your search with spaces e.g. /ssh pom.xml to search for src/ssh/pom.xml.
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Tip: You can also navigate files with Ctrl+j (next) and Ctrl+k (previous) and view the file with Ctrl+o.
Tip: You can also navigate files with Alt+j (next) and Alt+k (previous) and view the file with Alt+o.