[scikit-learn] Label encoding for classifiers and soft targets

[Andreas Mueller]

On 03/12/2017 03:11 PM, Javier López Peña wrote:
> The purpose is two-fold,  on the one hand use the probabilities 
> generated by a very complex
> model (e.g. a massive ensemble) to train a simpler one that achieves 
> comparable performance at a
> fraction of the cost. Any universal classifier will do (neural 
> networks are the prime example).
You could use a regression model with a logistic sigmoid in the output 
layer.