trainstation — 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 <https://hiphive.materialsmodeling.org/>_ and icet <https://icet.materialsmodeling.org/>_.
trainstation has been developed at the Department of Physics <https://www.chalmers.se/en/departments/physics/Pages/default.aspx>_
of Chalmers University of Technology <https://www.chalmers.se/>_ in Gothenburg, Sweden.
Please consult the credits page <https://trainstation.materialsmodeling.org/credits>_ for information on how to cite trainstation.
The development of trainstation is hosted on gitlab <https://gitlab.com/materials-modeling/trainstation>.
Bugs should be submitted via the gitlab issue tracker <https://gitlab.com/materials-modeling/trainstation/issues>.
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
FAQs
Convenient training of linear models
We found that trainstation demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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