efficient storage of large features data
The h5features python package provides easy to use and efficient storage of large features data on the HDF5 binary file format.
Installation from conda
conda install -c coml h5features
Installation from pip
pip install h5features
Installation from sources
The package depends on numpy, scipy and h5py. They can be automatically installed by the setup script but it takes a long time (full compilation). You may want to install the dependancies through your system package manager.
sudo apt-get install python3-numpy python3-scipy python3-h5py
Using Python anaconda:
conda install numpy scipy h5py
Install it from the sources with:
python setup.py build && python setup.py install
See the complete documentation online
Or build it with:
pip install Sphinx cd docs && make html
The home page of the compiled documentation is docs/_build/html/index.html.
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 -v ./test
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