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markovmodels's Introduction

MarkovModels

Installation

It is recommended to install libraries and run scripts in a virtual environment to avoid version conflicts between different projects. In order to do this, follow these steps:

  • virtualenv folder_name or if you have both python 2 and 3: virtualenv --python=python3 folder_name. Should virtualenv not be recognised you may need to call it as python -m virtualenv folder_name or (python -m virtualenv folder_name). If that doesn't work you may need to install virtualenv first pip install virtualenv.
  • Activate the virtual environment using source folder_name/bin/activate. Simply type deactivate to exit the virtual environment at the end of a session.
  • Install graphviz. On Ubuntu, this is done by running sudo apt install graphviz graphviz-dev.
  • Install gcc and build essential: sudo apt-get install gcc build-essential
  • Install cmake: sudo apt-get install cmake
  • Install scikit-build: pip install scikit-build
  • Install the markovmodels package by running pip install -e ..

Running

To run a script execute it using Python. For example, python3 scripts/fix_wrong_param_study/fix_wrong_parameter.py --protocols sis staircase

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