Future Work

Listed below are the key features that are to be developed:

Restructure API to handle both dataframes + matrices.
Implement regression.
Implement confidence estimation (classification with probability output).
Integrate WEKA.
Implement feature selection (wrap to another library).
Implement forkjoin transformer (variant of split-apply-combine with split replaced with generate)
Implement more ensemble methods (e.g. heterogeneous Adaboost).
Enable parallel / distributed learning.
Implement more metrics (e.g. AUR).

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