https://github.com/simonblanke/meta-learn

Metalearning for Hyperparameter Optimization
https://github.com/simonblanke/meta-learn

data-science hyperparameter-optimization machine-learning meta-learning metadata model-selection scikit-learn

Last synced: about 2 months ago
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Metalearning for Hyperparameter Optimization

• Host: GitHub
• URL: https://github.com/simonblanke/meta-learn
• Owner: SimonBlanke
• License: mit
• Created: 2018-03-26T15:28:52.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-03-14T19:18:39.000Z (10 months ago)
• Last Synced: 2024-03-14T20:38:06.176Z (10 months ago)
• Topics: data-science, hyperparameter-optimization, machine-learning, meta-learning, metadata, model-selection, scikit-learn
• Language: Python
• Homepage:
• Size: 235 KB
• Stars: 2
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


Meta-Learn






Metalearning for Hyperparameter Optimization





This package implements a type of Meta-Learning, which aims at optimizing the hyperparameters of a given model, based on previous model evaluations. This approach is described in chapter 6 of the book "Metalearning"[[1]](#1).




## Definitions

### Meta-Learning

### Meta-Regressor

### Meta-Data




## Installation

```console

pip install meta-learn

```




## References

[1] 

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren.

*Metalearning.

Applications to Automated Machine Learning and Data Mining.*

Second Edition.

Springer, 2022.