분석 Python/Packages
AutoML Pkgs
데이터분석뉴비
2019. 11. 17. 17:37
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출처 :http://statwith.com/automl-%ea%b4%80%eb%a0%a8-%ed%8c%a8%ed%82%a4%ec%a7%80-%eb%a6%ac%ec%8a%a4%ed%8a%b8/?fbclid=IwAR2arHRh2b1q9dqUO3JqST7iGCR-MLLXMY8L01BBAMdqfvVzimZM9QS7un8
AutoML.org
1. MLBox
2. Auto-Sklearn
3. Tree-Based Pipeline Optimization Tool (TPOT)
4. H2O
5. AutoKeras
6. Cloud AutoML
7. TransmogrifAI
8. BOHB (Robust Bayesian Optimization framework)
9. BOAH: BAYESIAN OPTIMIZATION & ANALYSIS OF HYPERPARAMETERS
10. Amazon Lex
11. AutoFolio
12. Flexfolio
13. Auto-Pytorch
14. Auto-Weka
15. SMAC (sequential model-based algorithm configuration)
- https://github.com/automl/SMAC3
- https://www.automl.org/automated-algorithm-design/algorithm-configuration/smac/
16. ROBO
* 11 Most Amazing AutoML Tools To Automate The Machine Learning
* AutoML: The Next Wave of Machine Learning
* “데이터 과학자 없는 머신러닝” AutoML의 이해
AutoGluon
출처 : https://towardsdatascience.com/autogluon-deep-learning-automl-5cdb4e2388ec
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