Extremely Randomized Trees Method for Classification and Regression
Package ‘extraTrees’
February 19, 2015
Version 1.0.5
Date 2014-12-27
Title Extremely Randomized Trees (ExtraTrees) Method for
Classification and Regression
Author Jaak Simm, Ildefons Magrans de Abril
Maintainer Jaak Simm <jaak.simm@gmail.com>
Description Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method.
Depends R (>= 2.7.0), rJava (>= 0.5-0)
Suggests testthat, Matrix
SystemRequirements Java (>= 1.6)
NeedsCompilation no
License Apache License 2.0
URL http://github.com/jaak-s/extraTrees
Repository CRAN
Date/Publication 2014-12-27 23:41:04
R topics documented: extraTrees . . . . predict.extraTrees prepareForSave . selectTrees . . . setJavaMemory . toJavaCSMatrix . toJavaMatrix . . toJavaMatrix2D . toRMatrix . . . .
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extraTrees
extraTrees
Function for training ExtraTree classifier or regression.
Description
This function executes ExtraTree building method (implemented in Java).
Usage
## Default S3 method: extraTrees(x, y, ntree=500, mtry = if (!is.null(y) && !is.factor(y)) max(floor(ncol(x)/3), 1) else floor(sqrt(ncol(x))), nodesize = if (!is.null(y) &&
February 19, 2015
Version 1.0.5
Date 2014-12-27
Title Extremely Randomized Trees (ExtraTrees) Method for
Classification and Regression
Author Jaak Simm, Ildefons Magrans de Abril
Maintainer Jaak Simm <jaak.simm@gmail.com>
Description Classification and regression based on an ensemble of decision trees. The package also provides extensions of ExtraTrees to multi-task learning and quantile regression. Uses Java implementation of the method.
Depends R (>= 2.7.0), rJava (>= 0.5-0)
Suggests testthat, Matrix
SystemRequirements Java (>= 1.6)
NeedsCompilation no
License Apache License 2.0
URL http://github.com/jaak-s/extraTrees
Repository CRAN
Date/Publication 2014-12-27 23:41:04
R topics documented: extraTrees . . . . predict.extraTrees prepareForSave . selectTrees . . . setJavaMemory . toJavaCSMatrix . toJavaMatrix . . toJavaMatrix2D . toRMatrix . . . .
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. 2
. 5
. 6
. 7
. 8
. 8
. 9
. 9
. 10
11
1
2
extraTrees
extraTrees
Function for training ExtraTree classifier or regression.
Description
This function executes ExtraTree building method (implemented in Java).
Usage
## Default S3 method: extraTrees(x, y, ntree=500, mtry = if (!is.null(y) && !is.factor(y)) max(floor(ncol(x)/3), 1) else floor(sqrt(ncol(x))), nodesize = if (!is.null(y) &&