treesForRCV: Trees for RCV
In MiriamEsteve/EAT: Efficiency Analysis Trees
Description
Usage
Arguments
Value
Description
This function generates a deep EAT and all pruning for each train set.
Usage
1
treesForRCV(notLv, x, y, fold, numStop)
Arguments
notLv
Train set.
x
Column input indexes in data.
y
Column output indexes in data.
fold
Parts in which the original set is divided to perform Cross-Validation.
numStop
Minimum number of observations in a node to be split.
Value
List with each possible pruning for the deep tree generated with train set and its associated alpha values.
MiriamEsteve/EAT documentation built on Jan. 18, 2022, 6:55 p.m.
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Description Usage Arguments Value
Description
This function generates a deep EAT and all pruning for each train set.
Usage
1 | treesForRCV(notLv, x, y, fold, numStop)
|
Arguments
notLv |
Train set. |
x |
Column input indexes in data. |
y |
Column output indexes in data. |
fold |
Parts in which the original set is divided to perform Cross-Validation. |
numStop |
Minimum number of observations in a node to be split. |
Value
List with each possible pruning for the deep tree generated with train set and its associated alpha values.
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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