TL-GPRSM 0.1.0

TL-GPRSM: Tlansfer Learning Gaussian Process Regression Surrogate Model

# TL-GPRSM The tool for Tlansfer Learning Gaussian Process Regression Surrogate Model ## Install You can install TL-GPRSM from PyPi with pip. pip install TL-GPRSM or from github with pip. pip install git+https://github.com/SaidaTaisei/TL-GPRSM

## Document Document https://saidataisei.github.io/TL-GPRSM/

## Tutorials (how to use TL-GPRSM) Tutorials are provided in jupyter notebook implementation. Tutorial: https://github.com/SaidaTaisei/TL-GPRSM/tree/master/Tutorial

## Citation ` @article{SAIDA2023107014, title = {Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties}, journal = {Computers & Structures}, volume = {281}, pages = {107014}, year = {2023}, issn = {0045-7949}, doi = {https://doi.org/10.1016/j.compstruc.2023.107014}, url = {https://www.sciencedirect.com/science/article/pii/S0045794923000445}, author = {Taisei Saida and Mayuko Nishio} } `