postprocess

response

family

list_of_models

postprocessing

internal

Distributed gradient boosting based on the mboost package. The
parboost package is designed to scale up component-wise functional
gradient boosting in a distributed memory environment by splitting the
observations into disjoint subsets, or alternatively using bootstrap
samples (bagging). Each cluster node then fits a boosting model to its
subset of the data. These boosting models are combined in an ensemble,
either with equal weights, or by fitting a (penalized) regression
model on the predictions of the individual models on the complete
data.

Ronert Obst

parboost

Distributed Model-Based Boosting

postprocess function

Postprocess parboost ensemble components

postprocess: Postprocess parboost ensemble components

Description

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Details