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

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Roisin Loughnane
Roisin Loughnane el 8 de Oct. de 2017
Editada: Roisin Loughnane el 9 de Oct. de 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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