Convenient training of linear models
trainstation is a tool that allows the efficient construction of linear models. It provides supplementary functionality for handling data and model metrics and relies on the scikit-learn library for the actual training. Many examples for the application of trainstation can be found in the documentation of hiphive and icet.
trainstation has been developed at the Department of Physics of Chalmers University of Technology in Gothenburg, Sweden. Please consult the credits page for information on how to cite trainstation. The development of trainstation is hosted on gitlab. Bugs should be submitted via the gitlab issue tracker.
trainstation can be installed via pip:
pip3 install trainstation
If you want to get the absolutely latest version you can install from the repo:
pip3 install -e git+https://gitlab.com/materials-modeling/trainstation#egg=trainstation
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