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 | |
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Details
| Date | 2014-12-27 |
| SystemRequirements | Java (>= 1.6) |
| NeedsCompilation | no |
| License | Apache License 2.0 |
| URL | http://github.com/jaak-s/extraTrees |
| Packaged | 2014-12-27 17:56:50 UTC; jaak |
| Repository | CRAN |
| Date/Publication | 2014-12-27 23:41:04 |
| depends | base (>= 2.7.0) , R (>= 2.7.0) , rJava (>= 0.5-0) |
| suggests | Matrix , testthat |
| Contributors | Jaak Simm, Ildefons de Abril |
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