Hyperparameter optimization: Difference between revisions

Revision as of 15:59, 26 August 2018

Revision as of 23:41, 26 August 2018

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* [[LIBSVM]] comes with scripts for performing grid search.

* [[scikit-learn]] is a Python package which includes [http://scikit-learn.sourceforge.net/modules/grid_search.html grid] search.

*[https://github.com/autonomio/talos Talos] is a hyperparameter optimizer that implements aincludes grid search for [[Keras]] models.

===Random search===

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* [[scikit-learn]] is a Python package which includes [http://scikit-learn.org/stable/modules/generated/sklearn.grid_search.RandomizedSearchCV.html random] search.

* [http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html H2O AutoML] provides automated data preparation, hyperparameter tuning via random search, and stacked ensembles in a distributed machine learning platform.

*[https://github.com/autonomio/talos Talos] is a hyperparameter optimizer that implementsincludes a customizable random search for [[Keras]] models.

===Bayesian===