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Make custom tree in accordance to sklearn api #8

Description

@bramiozo

Should

  • allow for multiple features per split decision, composite conditions, and OR conditions
  • allow for multinomial splits : i.e. if f(X) then A else [B1,B2,B3]
    • N-binning based on X -> given enough entropy in X-values
    • based on fuzzy f(X); either by partial agreement, of because of proba cut-off
  • allow for holistic optimisation: genetic algorithm?

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