NLTK Trainer ------------ NLTK Trainer exists to make training and evaluating NLTK objects as easy as possible. Requirements ------------ You must have Python >=2.6 (but not 3.x) with `argparse <http://pypi.python.org/pypi/argparse/>`_ and `NLTK <http://www.nltk.org/>`_ 2.0 installed. `NumPy <http://numpy.scipy.org/>`_, `SciPy <http://www.scipy.org/>`_, and `megam <http://www.cs.utah.edu/~hal/megam/>`_ are recommended for training Maxent classifiers. To use the sklearn classifiers, you must also install `scikit-learn <http://scikit-learn.org/stable/>`_. If you want to use any of the corpora that come with NLTK, you should `install the NLTK data <http://nltk.org/data.html>`_. Documentation ------------- Documentation can be found at `nltk-trainer.readthedocs.org <http://nltk-trainer.readthedocs.org/en/latest/>`_ (you can also find these documents in the `docs directory <https://github.com/japerk/nltk-trainer/tree/master/docs>`_. Every script also provides a ``--help`` option that describes all available parameters.