Features:
- Tests!
- maintain index of all training-cases
- update distance of training-cases after every evaluation (only update cases that are in the downsample)
- when an individual passes all of the DS cases, the population is re-evaluated on all training-cases to see if they pass all of them. If so, evolution is completed and training is complete. (they are then tested on held out test set and performance is reported)
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