how to fit link logit for binomial error distribution in gradient descent boosted regression trees

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Roisin Loughnane
Roisin Loughnane le 8 Oct 2017
Modifié(e) : Roisin Loughnane le 9 Oct 2017
Hello,
Could somebody please advise me on how to fit a logit binary response (probability of success/failure) in the context of a boosted regression tree model. In R it is possible to specify error distribution with a logit link function. Is there something similar in Matlab? There is a gbm package in R that makes calculations for deviance, initial values, gradients, and the constants predicted in each terminal node. How can this be done in Matlab?

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