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efficient storage of large features data

Project Description
.. image::
:alt: Documentation Status

.. image::


.. highlight:: bash

The h5features **python package** provides easy to use and efficient
storage of **large features data** on the HDF5 binary file format.


The package depends on *numpy*, *scipy* and *h5py* (automatically
installed by the setup script). Install it with::

$ python build && python install

Or you can install it with pip::

$ pip install h5features


* See the complete documentation `online

* Or build it with::

$ pip install Sphinx
$ cd docs && make html

The home page of the compiled documentation is


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
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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
h5features-1.2.tar.gz (35.6 kB) Copy SHA256 Checksum SHA256 Source Sep 6, 2016

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