brif-package: brif: A tree and forest tool for classification and...
In brif: A Tree and Forest Tool for Classification and Regression
brif-package R Documentation
brif: A tree and forest tool for classification and regression
Description
Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP'.
Available functions
Use brif to build a random forest and (optionally) make predictions.
Use brifTree to build a single decision tree.
Use printRules to print out the decision rules of a tree.
Use predict.brif to make predictions using a brif model (tree or forest).
Author(s)
Yanchao Liu
brif documentation built on Feb. 16, 2023, 10:39 p.m.
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| brif-package | R Documentation |
brif: A tree and forest tool for classification and regression
Description
Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP'.
Available functions
Use brif to build a random forest and (optionally) make predictions.
Use brifTree to build a single decision tree.
Use printRules to print out the decision rules of a tree.
Use predict.brif to make predictions using a brif model (tree or forest).
Author(s)
Yanchao Liu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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