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SplitSoftening (version 2.1-0)
Softening Splits in Decision Trees
Description
Allows to produce and use classification trees with soft (probability) splits, as described in: Dvo
<99>
k, J. (2019),
.
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Version
Version
2.1-0
2.0-1
2.0-0
1.0-0
Install
install.packages('SplitSoftening')
Monthly Downloads
86
Version
2.1-0
License
GPL (>= 2)
Maintainer
Jakub Dvorak
Last Published
October 8th, 2021
Functions in SplitSoftening (2.1-0)
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softening.by.data.range
Make split softening based on data ranges.
softening.optimized
Make split softening optimized with Nelder-Mead.
predictSoftsplits
Prediction according to `soft tree'.
softsplits
Create `soft tree' structure from a tree object.
SplitSoftening
Package: Softening splits in classification trees
soften
Create a `soft tree' structure with softening parameters set using one of the named method.
softening.by.esd
Soften splits separately using error standard deviation.