Metadata-Version: 1.0 Name: Orange Version: 2.7.1.dev-r11664-4bb73da41192 Summary: Orange, a component-based data mining framework. Home-page: http://orange.biolab.si/ Author: Bioinformatics Laboratory, FRI UL Author-email: contact@orange.biolab.si License: GPLv3 Download-URL: https://bitbucket.org/biolab/orange/downloads Description: 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 .. _development mode: http://packages.python.org/distribute/setuptools.html#development-mode Keywords: data mining,machine learning,artificial intelligence Platform: UNKNOWN Classifier: Development Status :: 4 - Beta Classifier: Environment :: X11 Applications :: Qt Classifier: Environment :: Console Classifier: Environment :: Plugins Classifier: Programming Language :: Python Classifier: Framework :: Orange Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+) Classifier: Operating System :: POSIX Classifier: Operating System :: Microsoft :: Windows Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence Classifier: Topic :: Scientific/Engineering :: Visualization Classifier: Topic :: Software Development :: Libraries :: Python Modules Classifier: Intended Audience :: Education Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Developers