On 03/13/2017 08:35 AM, Javier López Peña wrote:
Training a regression tree would require sticking some kind of
probability normaliser at the end to ensure proper probabilities,
this might somehow hurt sharpness or calibration.
No, if all the samples are normalized and your aggregation function is
sane (like the mean), the output will also be normalized.
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