AstroCent- Seminar 8.07.2020 A Python library for optimizing the hyperparameters of machine learning algorithms presentation
conda install mongodb mongod --dbpath . --port 1234 hyperopt-mongo-worker --mongo=localhost:1234/foo_db --poll-interval=0.1 python parallel.py
pymongo
hyperopt- http://proceedings.mlr.press/v28/bergstra13.pdf
- https://github.com/WillKoehrsen/hyperparameter-optimization/blob/master/Introduction%20to%20Bayesian%20Optimization%20with%20Hyperopt.ipynb
- https://github.com/WillKoehrsen/hyperparameter-optimization/blob/master/Bayesian%20Hyperparameter%20Optimization%20of%20Gradient%20Boosting%20Machine.ipynb
- https://conference.scipy.org/proceedings/scipy2013/pdfs/bergstra_hyperopt.pdf
- https://neptune.ai/blog/optuna-vs-hyperopt
- https://en.wikipedia.org/wiki/Bayesian_optimization
- https://medium.com/vooban-ai/hyperopt-tutorial-for-optimizing-neural-networks-hyperparameters-e3102814b919