extraTrees (version 1.0.5)

Extremely Randomized Trees (ExtraTrees) Method for Classification and Regression

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.

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Install

install.packages('extraTrees')

Monthly Downloads

252

Version

1.0.5

License

Apache License 2.0

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Repository

http://github.com/jaak-s/extraTrees

Maintainer

Jaak Simm

Last Published

December 27th, 2014

Functions in extraTrees (1.0.5)

predict.extraTrees

Function for making predictions from trained ExtraTree object.

toJavaMatrix2D

Utility function for converting an R matrix (standard matrix or SparseMatrix) to appropriate Java matrix object.

extraTrees

Function for training ExtraTree classifier or regression.

toJavaCSMatrix

Utility function for converting an R SparseMatrix (package Matrix) to Java (column) sparse matrix.

toJavaMatrix

Utility function for converting an R matrix (numeric matrix) to Java matrix.

selectTrees

Makes a sub-ExtraTrees object by keeping only selected trees.

toRMatrix

Utility function for converting Java matrix to R matrix (matrix of doubles).

setJavaMemory

Utility function for setting Java memory.

prepareForSave

Prepares ExtraTrees object for save() function