Package: autoBagging
Type: Package
Title: Learning to Rank Bagging Workflows with Metalearning
Version: 0.1.0
Authors@R: c(person("Fabio", "Pinto", role = c("aut")),
              person("Vitor", "Cerqueira", email = "cerqueira.vitormanuel@gmail.com", role = "cre"),
              person("Carlos", "Soares", role = "ctb"),
              person("Joao", "Mendes-Moreira", role = "ctb"))
Author: Fabio Pinto [aut], Vitor Cerqueira [cre], Carlos Soares [ctb],
        Joao Mendes-Moreira [ctb]
Maintainer: Vitor Cerqueira <cerqueira.vitormanuel@gmail.com>
Description: A framework for automated machine learning. Concretely,
        the focus is on the optimisation of bagging workflows. A
        bagging workflows is composed by three phases: (i) generation:
        which and how many predictive models to learn; (ii) pruning:
        after learning a set of models, the worst ones are cut off from
        the ensemble; and (iii) integration: how the models are
        combined for predicting a new observation. autoBagging
        optimises these processes by combining metalearning and a
        learning to rank approach to learn from metadata. It
        automatically ranks 63 bagging workflows by exploiting past
        performance and dataset characterization. A complete
        description of the method can be found in: Pinto, F.,
        Cerqueira, V., Soares, C., Mendes-Moreira, J. (2017):
        "autoBagging: Learning to Rank Bagging Workflows with
        Metalearning" arXiv preprint arXiv:1706.09367.
Depends: R (>= 2.10)
Imports: cluster, xgboost, methods, e1071, rpart, abind, caret, MASS,
        entropy, lsr, CORElearn, infotheo, minerva, party
License: GPL (>= 2)
Encoding: UTF-8
LazyData: no
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-06-22 07:30:55 UTC; root
Config/pak/sysreqs: make libicu-dev
Repository: https://vcerqueira.r-universe.dev
Date/Publication: 2017-07-01 23:06:44 UTC
RemoteUrl: https://github.com/cran/autoBagging
RemoteRef: HEAD
RemoteSha: 557d304a4a7bd0bf707d9c1a1f6d6a35e8b9da98