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Pre-release

This release is a pre-release and may not be stable for production use.

pyPCG toolbox

Common processing algorithms and segmemtation for PCG signals

Installation

IMPORTANT!

pyPCG is dependent on a package hsmmlearn which is currently not available on PyPi.

To solve this issue, install hsmmlearn separately from https://github.com/jvkersch/hsmmlearn

pip install git+https://github.com/jvkersch/hsmmlearn@master

Note: Python 3.10 is supported but 3.11 is recommended

From PyPi

Install pyPCG using pip

pip install pyPCG_toolbox

From source

Clone the git repository

git clone https://github.com/mulkr/pyPCG-toolbox.git

Change directory to the cloned repository

cd pyPCG-tooblox

Install with pip

pip install .

Building the documentation

Install required packages

pip install -r docs/requirements.txt

Call Sphinx build command

sphinx-build -M html docs/source docs/build

On Windows you can also run the make.bat file

.\docs\make.bat html

The documentation should be available in the docs/build directory as html files
This includes the example codes as tutorials

Correspondence

Kristóf Müller (muller.kristof@itk.ppke.hu)
Márton Áron Goda (goda.marton.aron@itk.ppke.hu)

Metadata

Release files for pyPCG-toolbox 0.1b5

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Source distribution for pyPCG-toolbox 0.1b5
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Table of built distributions (wheels) for pyPCG-toolbox 0.1b5
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pypcg_toolbox-0.1b5-py3-none-any.whl Python 3 none any Details

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