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GitHub / alize-papp / SurrogateModelForOptimization
A demo of how to use a surrogate model for an optimization problem
Stars: 4
Forks: 0
Open Issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 4.95 MB
Dependencies:
53
Created: about 3 years ago
Updated: 4 months ago
Last pushed: about 3 years ago
Last synced: 4 months ago
Topics: gaussian-processes, kriging, optimization, surrogate-models
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Readme
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Dependencies
requirements.txt
pypi
- Babel ==2.9.0
- Jinja2 ==2.11.3
- MarkupSafe ==1.1.1
- Pillow ==8.1.0
- Pygments ==2.8.0
- Sphinx ==3.5.1
- alabaster ==0.7.12
- backcall ==0.2.0
- certifi ==2020.12.5
- chardet ==4.0.0
- cycler ==0.10.0
- decorator ==4.4.2
- docutils ==0.16
- idna ==2.10
- imagesize ==1.2.0
- ipython ==7.20.0
- ipython-genutils ==0.2.0
- jedi ==0.18.0
- joblib ==1.0.1
- kiwisolver ==1.3.1
- matplotlib ==3.3.4
- numpy ==1.20.1
- numpydoc ==1.1.0
- packaging ==20.9
- pandas ==1.2.2
- parso ==0.8.1
- pexpect ==4.8.0
- pickleshare ==0.7.5
- plotly ==4.14.3
- prompt-toolkit ==3.0.16
- ptyprocess ==0.7.0
- pyDOE2 ==1.3.0
- pyparsing ==2.4.7
- python-dateutil ==2.8.1
- pytz ==2021.1
- requests ==2.25.1
- retrying ==1.3.3
- scikit-learn ==0.24.1
- scipy ==1.6.1
- six ==1.15.0
- sklearn ==0.0
- smt ==0.8.0
- snowballstemmer ==2.1.0
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==1.0.3
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.4
- threadpoolctl ==2.1.0
- traitlets ==5.0.5
- urllib3 ==1.26.3
- wcwidth ==0.2.5