OK, it seems that in Segment trainer and Nested Trainer, in order to get
rid of overflows all metrics are calculated in a log space. Which means
that I can't define features that return negative values. I can shift the
features but then they wont represent the underlying characteristics
correctly. Is there any workaround ?