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Refactor meta-learning components to single data transformation

Open MorrisNein opened this issue 1 year ago • 0 comments

  • 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

MorrisNein avatar Nov 08 '23 22:11 MorrisNein