GAMLET
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Refactor meta-learning components to single data transformation
- Some current meta-learning components include multiple transformations with reuse of other ones.
- Moreover, there is excess usage of hardcoded configuration and data files affecting the components' behaviour.
- The usage of cache is ambiguous. The interface of the components must clearly involve cache retrieval and corresponding notification.
- The current cache implementation may be reconsidered to become a universal lazy computational cache.
These major problems affect a big part of the framework, thus must be solved step-by-step:
- [ ] #73
- [x] #75
- [x] #77
- [x] #76