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extraTrees

Extremely Randomized Trees (ExtraTrees) Method for Classification and Regression

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.

Functions (9)

extraTrees

Function for training ExtraTree classifier or regression.

predict.extraTrees

Function for making predictions from trained ExtraTree object.

prepareForSave

Prepares ExtraTrees object for save() function

selectTrees

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

setJavaMemory

Utility function for setting Java memory.

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.

toJavaMatrix2D

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

toRMatrix

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

extraTrees

Extremely Randomized Trees (ExtraTrees) Method for Classification and Regression

v1.0.5

Apache License 2.0

Authors

Jaak Simm, Ildefons Magrans de Abril

Initial release

2014-12-27

extraTrees

Functions (9)

extraTrees

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