Installation guideΒΆ
C++ supported compilers:
The plasticity project is written in C++ and it supports also older standard versions (std=c++1+). The package installation can be performed via [CMake](https://github.com/Nico-Curti/plasticity/blob/main/CMakeLists.txt). The only requirement for the installation of the C++ library is the Eigen3 library. You can easily install the Eigen3 library with the following commands:
You can also use the plasticity package in Python using the Cython wrap provided inside this project. The only requirements are the following:
numpy >= 1.16.0
cython >= 0.29
scikit -learn >= 0.19.1
tqdm
matplotlib
You can also use the plasticity package in Python using the Cython wrap provided inside this project. The only requirements are the following:
numpy >= 1.15
cython >= 0.29
scikit-learn >= 0.20.3
tqdm
matplotlib
The Cython version can be built and installed via CMake enabling the -DPYWRAP variable. The Python wrap guarantees also a good integration with the other common Machine Learning tools provided by scikit-learn Python package; in this way you can use the plasticity algorithm as an equivalent alternative also in other pipelines. Like other Machine Learning algorithm also the plasticity one depends on many parameters, i.e its hyper-parameters, which has to be tuned according to the given problem. The Python wrap of the library was written according to scikit-optimize Python package to allow an easy hyper-parameters optimization using the already implemented classical methods.
Follow the instruction about your needs.