# extraTrees v1.0.5

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## 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 in extraTrees

 Name Description 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 No Results!