BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning.
Yaohua LiuRisheng LiuPublished in: CoRR (2020)
Keyphrases
- meta learning
- learning tasks
- inductive learning
- meta knowledge
- model selection
- machine learning algorithms
- decision trees
- data mining
- open source
- machine learning
- feature selection
- base classifiers
- programming language
- optimization method
- bilevel programming
- learning experience
- knowledge acquisition
- data model
- prior knowledge
- feature vectors
- support vector