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Project Description

hmmlearn

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.

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
Release History

Release History

0.2.0

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
hmmlearn-0.2.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (183.9 kB) Copy SHA256 Checksum SHA256 cp27 Wheel Mar 13, 2016
hmmlearn-0.2.0-cp27-cp27m-win32.whl (74.6 kB) Copy SHA256 Checksum SHA256 cp27 Wheel Mar 1, 2016
hmmlearn-0.2.0-cp27-cp27m-win_amd64.whl (85.5 kB) Copy SHA256 Checksum SHA256 cp27 Wheel Mar 1, 2016
hmmlearn-0.2.0-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (184.4 kB) Copy SHA256 Checksum SHA256 cp33 Wheel Mar 13, 2016
hmmlearn-0.2.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (184.9 kB) Copy SHA256 Checksum SHA256 cp34 Wheel Mar 13, 2016
hmmlearn-0.2.0-cp34-cp34m-win32.whl (75.6 kB) Copy SHA256 Checksum SHA256 cp34 Wheel Mar 1, 2016
hmmlearn-0.2.0-cp34-cp34m-win_amd64.whl (84.0 kB) Copy SHA256 Checksum SHA256 cp34 Wheel Mar 1, 2016
hmmlearn-0.2.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (185.1 kB) Copy SHA256 Checksum SHA256 cp35 Wheel Mar 13, 2016
hmmlearn-0.2.0-cp35-cp35m-win32.whl (71.5 kB) Copy SHA256 Checksum SHA256 cp35 Wheel Mar 1, 2016
hmmlearn-0.2.0-cp35-cp35m-win_amd64.whl (81.8 kB) Copy SHA256 Checksum SHA256 cp35 Wheel Mar 1, 2016
hmmlearn-0.2.0.tar.gz (107.9 kB) Copy SHA256 Checksum SHA256 Source Mar 1, 2016

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