Description

SciKit-Learn Laboratory ----------------------- This package provides a number of utilities to make it simpler to run common scikit-learn experiments with pre-generated features. Command-line Interface ~~~~~~~~~~~~~~~~~~~~~~ ``run_experiment`` is a command-line utility for running a series of learners on datasets specified in a configuration file. For more information about using run_experiment, go `here <http://htmlpreview.github.io/?http://github.com/EducationalTestingService/skll/blob/master/doc/_build/html/run_experiment.html>`__. Python API ~~~~~~~~~~ If you just want to avoid writing a lot of boilerplate learning code, you can use our simple well-documented Python API. The main way you'll want to use the API is through the ``load_examples`` function and the ``Learner`` class. For more details on how to simply train, test, cross-validate, and run grid search on a variety of scikit-learn models see `the documentation <http://htmlpreview.github.io/?http://github.com/EducationalTestingService/skll/blob/master/doc/_build/html/index.html>`__. Requirements ~~~~~~~~~~~~ - Python 2.7+ - `scikit-learn <http://scikit-learn.org/stable/>`__ - `six <https://pypi.python.org/pypi/six>`__ - `PrettyTable <http://pypi.python.org/pypi/PrettyTable>`__ - `Grid Map <http://pypi.python.org/pypi/gridmap>`__ (only required if you plan to run things in parallel on a DRMAA-compatible cluster)