Implement OVA and/or OVO methods for classification models
Abierto
enhancement
hacktoberfest
help wanted
- Lenguaje dominante
- C++
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- 2
- Forks
- 3
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
Currently `logistic_regression` (and some other TODO models) only support binary classification problems. A solution would be implement One VS All and/or One vs One methods to this type of models in order to support multilabel problems
Edit (already implemented):
- [x] OvA
- [ ] OvO
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