Metadata-Version: 2.1
Name: hmmlearn
Version: 0.2.0
Summary: Hidden Markov Models in Python with scikit-learn like API
Home-page: https://github.com/hmmlearn/hmmlearn
Maintainer: Sergei Lebedev
Maintainer-email: superbobry@gmail.com
License: new BSD
Description: hmmlearn |travis| |appveyor|
        ========
        
        .. |travis| image:: https://api.travis-ci.org/hmmlearn/hmmlearn.png?branch=master
           :target: https://travis-ci.org/hmmlearn/hmmlearn
        
        .. |appveyor| image:: https://ci.appveyor.com/api/projects/status/3c70msixtdvvae20/branch/master?svg=true
           :target: https://ci.appveyor.com/project/superbobry/hmmlearn/branch/master
        
        hmmlearn is a set of algorithms for **unsupervised** learning and inference of
        Hidden Markov Models. For supervised learning learning of HMMs and similar models
        see `seqlearn <https://github.com/larsmans/seqlearn>`_.
        
        Getting the latest code
        =======================
        
        To get the latest code using git, simply type::
        
            $ git clone https://github.com/hmmlearn/hmmlearn.git
        
        Installing
        ==========
        
        Make sure you have all the dependencies::
        
            $ pip install numpy scipy scikit-learn
        
        and then install ``hmmlearn`` by running::
        
            $ python setup.py install
        
        in the source code directory.
        
        Running the test suite
        ======================
        
        To run the test suite, you need ``pytest``. Run the test suite using::
        
            $ python setup.py build_ext --inplace
            $ py.test --doctest-modules hmmlearn
        
        from the root of the project.
        
        Building the docs
        =================
        
        To build the docs you need to have the following packages installed::
        
            $ pip install Pillow matplotlib Sphinx sphinx-gallery sphinx_rtd_theme numpydoc
        
        Run the command::
        
            $ cd doc
            $ make html
        
        The docs are built in the ``_build/html`` directory.
        
        Making a source tarball
        =======================
        
        To create a source tarball, eg for packaging or distributing, run the
        following command::
        
            $ python setup.py sdist
        
        The tarball will be created in the ``dist`` directory.
        
        Making a release and uploading it to PyPI
        =========================================
        
        This command is only run by project manager, to make a release, and
        upload in to PyPI::
        
            $ python setup.py sdist bdist_egg register upload
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Provides-Extra: tests
Provides-Extra: docs
