func (self *PredictionForest) Train(inputLog il.Interface) {
for _, key := range inputLog.Keys() {
var newTree dt.Interface
newTree = dt.New()
newTree.Train(inputLog, key)
self.Trees[key] = newTree
}
}
func (self *DecisionTree) Train(inputLog il.Interface, targetKey string) {
nextKey := inputLog.MaxEntropy(targetKey)
if nextKey != targetKey {
leftInputLog, rightInputLog := inputLog.SplitOnKey(nextKey)
left, right := New(), New()
if leftInputLog.Any() {
left.Train(leftInputLog, targetKey)
}
if rightInputLog.Any() {
right.Train(rightInputLog, targetKey)
}
self.InsertLeft(left)
self.InsertRight(right)
self.Set(nextKey)
} else {
present := inputLog.KeyCount(targetKey)
absent := inputLog.Len() - present
self.Set(present > absent)
}
}
