regression_splitter.go

	features := c.featureSelector.getFeatures(examples)
	candidateSplits := make(chan split, len(features))
	for _, feature := range features {
		go func(feature int) {
			candidateSplits <- getBestSplit(examples, feature)
		}(feature)
	}

	bestSplit := split{}
	for _ = range features {
		candidateSplit := <-candidateSplits
		if candidateSplit.gain > bestSplit.gain {
			bestSplit = candidateSplit
		}
	}