Version: v0.1.0
Author(s): Florian Fuchs <florian.fuchs@enas.fraunhofer.de>, Philipp Schulze <pschulze@math.tu-berlin.de>, Fabian Teichert <fabian.teichert@enas.fraunhofer.de>
pyiron skikit-learn Gaussian process regressionDemonstrate performing Gaussian Process Regresssion of some test data with pyiron.
This repository contains a Jupyter notebook workflow.ipynb
which demonstrates a workflow to run a Gaussian process regression on some simple training data. The workflow is implemented using pyiron. The corresponding pyiron class can be found in gaussian_progress_regression.py
. This workflow has been developed within the BMBF-funded project DiMoGraph (Digital models for graphene-based conductor materials, 13XP5190B).
Florian Fuchs (Fraunhofer ENAS, Chemnitz)
Philipp Schulze (TU Berlin, Berlin)
Fabian Teichert (Fraunhofer ENAS, Chemnitz)
pyiron
pyiron_base
scikit-learn
numpy
optuna