graphinf 0.3.1

A Markov chain Monte-Carlo for graph inference.

fast-midynet

Framework for graph inference.

Installation

Requirements

• pybind11
• scikit-build
• numpy
• scipy
• networkx
• pandas
• pytest

Installation with pip

You can use pip to install the python module:

pip install .

Note that the basegraph must be installed. You can either download it and install it yourself, or you can load the submodules and install it directly from the repository:

git submodule --init
pip install ext/base_graph

Build the C++ library

TO build the C++ library, we use cmake. First, we must set up the CMake environment. From the root directory (i.e., where the root file CMakeFile.txt is located), run the following command:

cmake -S . -B build 

This commands build the necessary scripts for building the library. To set up the environment for building the C++ unit tests as well, set the BUILD_TEST argument to ON:

cmake -S . -B build -DBUILD_TESTS=ON -Wno-dev

Finally, build the C++ library by running the following command:

cmake --build build -j4