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: 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 (about 8 years ago)
- Default Branch: master
- Last Pushed: 2025-12-19T07:01:54.000Z (5 months ago)
- Last Synced: 2025-12-22T02:16:59.564Z (5 months ago)
- Topics: data-science, hyperparameter-optimization, machine-learning, meta-learning, metadata, model-selection, scikit-learn
- Language: Python
- Homepage:
- Size: 259 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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.