TL-GPRSM: Tlansfer Learning Gaussian Process Regression Surrogate Model
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# 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} } `
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