On 10 September 2017 at 22:03, Sebastian Raschka
wrote:
> You could normalize the outputs (e.g., via min-max scaling). However, I
> think the more intuitive way would be to clip the predictions. E.g., say
> you are predicting house prices, it probably makes no sense to have
You could normalize the outputs (e.g., via min-max scaling). However, I think
the more intuitive way would be to clip the predictions. E.g., say you are
predicting house prices, it probably makes no sense to have a negative
prediction, so you would clip the output at some value >0$
PS: -820
Greetings,
Is there any way to force the MLPRegressor to make predictions in the same
value range as the training data? For example, if the training data range
between -5 and -9, I don't want the predictions to range between -820 and
-800. In fact, some times I get anti-correlated predictions,