rotationForest: Fit and Deploy Rotation Forest Models

Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.

AuthorMichel Ballings and Dirk Van den Poel
Date of publication2015-05-18 01:14:15
MaintainerMichel Ballings <michel.ballings@gmail.com>
LicenseGPL (>= 2)
Version0.1

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Files

rotationForest
rotationForest/NAMESPACE
rotationForest/R
rotationForest/R/rotationForest.R rotationForest/R/predict.rotationForest.R
rotationForest/MD5
rotationForest/DESCRIPTION
rotationForest/man
rotationForest/man/predict.rotationForest.Rd rotationForest/man/rotationForest.Rd

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