Metadata-Version: 1.1
Name: skll
Version: 0.22.5
Summary: SciKit-Learn Laboratory makes it easier to run machinelearning experiments with scikit-learn.
Home-page: http://github.com/EducationalTestingService/skll
Author: Daniel Blanchard
Author-email: dblanchard@ets.org
License: BSD 3 clause
Description: SciKit-Learn Laboratory
        -----------------------
        
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        This Python package provides utilities to make it easier to run
        machine learning experiments with scikit-learn.
        
        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 (including a quick example), go
        `here <https://skll.readthedocs.org/en/latest/run_experiment.html>`__.
        
        Python API
        ~~~~~~~~~~
        
        If you just want to avoid writing a lot of boilerplate learning code, you can
        use our simple 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 <https://skll.readthedocs.org/en/latest/index.html>`__.
        
        A Note on Pronunciation
        ~~~~~~~~~~~~~~~~~~~~~~~
        
        SciKit-Learn Laboratory (SKLL) is pronounced "skull": that's where the learning
        happens.
        
        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>`__
        -  `BeautifulSoup 4 <http://www.crummy.com/software/BeautifulSoup/>`__
        -  `Grid Map <http://pypi.python.org/pypi/gridmap>`__ (only required if you plan
           to run things in parallel on a DRMAA-compatible cluster)
        -  `configparser <http://pypi.python.org/pypi/configparser>`__ (only required for
           Python 2.7)
        -  `futures <http://pypi.python.org/pypi/futures>`__ (only required for Python 2.7)
        -  `logutils <http://pypi.python.org/pypi/logutils>`__ (only required for Python 2.7)
        
        Talks
        ~~~~~
        
        -  *Simpler Machine Learning with SKLL*, Dan Blanchard, PyData NYC 2013 (`video <http://vimeo.com/79511496>`__ | `slides <http://www.slideshare.net/DanielBlanchard2/simple-machine-learning-with-skll>`__)
        
        Changelog
        ~~~~~~~~~
        
        See `GitHub releases <https://github.com/EducationalTestingService/skll/releases>`__.
        
Keywords: learning scikit-learn
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
