Metadata-Version: 1.2
Name: TL_GPRSM
Version: 0.1.0
Summary: TL-GPRSM: Tlansfer Learning Gaussian Process Regression Surrogate Model
Home-page: https://github.com/SaidaTaisei/TL-GPRSM
Author: Taisei Saida
Author-email: saida.taisei.tj@alumni.tsukuba.ac.jp
Maintainer: Taisei Saida
Maintainer-email: saida.taisei.tj@alumni.tsukuba.ac.jp
License: MIT License
Download-URL: https://github.com/SaidaTaisei/TL-GPRSM
Description: # 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}
        }
        ```
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
