{ "info": { "author": "William Cauchois", "author_email": "wcauchois@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "PySVMLight\n==========\n\nA Python binding to the [SVM-Light](http://svmlight.joachims.org/) support vector machine library by Thorsten Joachims.\n\nWritten by Bill Cauchois (), with thanks to Lucas Beyer and n0mad for their contributions.\n\nInstallation\n------------\nPySVMLight uses distutils for setup. Installation is as simple as\n\n $ chmod +x setup.py\n $ ./setup.py --help\n $ ./setup.py build\n\nIf you want to install SVMLight to your PYTHONPATH, type:\n\n $ ./setup.py install\n\n(You may need to execute this command as the superuser.) Otherwise, look in the build/ directory to find svmlight.so and copy that file to the directory of your project. You should now be able to `import svmlight`.\n\nGetting Started\n---------------\nSee examples/simple.py for example usage.\n\nReference\n---------\n\nIf you type `help(svmlight)`, you will see that there are currently three functions.\n\n learn(training_data, **options) -> model\n\nTrain a model based on a set of training data. The training data should be in the following format:\n\n >> (