efficient storage of large features data
Project description
.. image:: https://readthedocs.org/projects/h5features/badge/?version=master
:target: http://h5features.readthedocs.org
:alt: Documentation Status
.. image:: https://travis-ci.org/bootphon/h5features.svg?branch=master
:target: https://travis-ci.org/bootphon/h5features
==========
h5features
==========
.. highlight:: bash
The h5features **python package** provides easy to use and efficient
storage of **large features data** on the HDF5 binary file format.
Installation
------------
The package depends on *numpy*, *scipy* and *h5py* (automatically
installed by the setup script). Install it with::
$ python setup.py build && python setup.py install
Or you can install it with pip::
$ pip install h5features
Documentation
-------------
* See the complete documentation `online
<http://h5features.readthedocs.org>`_
* Or build it with::
$ pip install Sphinx
$ cd docs && make html
The home page of the compiled documentation is
``docs/_build/html/index.html``.
Test
----
The package comes with a unit-tests suit. To run it, first install *pytest* on your Python environment::
$ pip install pytest
Then run the tests with::
$ pytest
:target: http://h5features.readthedocs.org
:alt: Documentation Status
.. image:: https://travis-ci.org/bootphon/h5features.svg?branch=master
:target: https://travis-ci.org/bootphon/h5features
==========
h5features
==========
.. highlight:: bash
The h5features **python package** provides easy to use and efficient
storage of **large features data** on the HDF5 binary file format.
Installation
------------
The package depends on *numpy*, *scipy* and *h5py* (automatically
installed by the setup script). Install it with::
$ python setup.py build && python setup.py install
Or you can install it with pip::
$ pip install h5features
Documentation
-------------
* See the complete documentation `online
<http://h5features.readthedocs.org>`_
* Or build it with::
$ pip install Sphinx
$ cd docs && make html
The home page of the compiled documentation is
``docs/_build/html/index.html``.
Test
----
The package comes with a unit-tests suit. To run it, first install *pytest* on your Python environment::
$ pip install pytest
Then run the tests with::
$ pytest
Project details
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