split_forest: Split Node in Random Forest EAT
In MiriamEsteve/EAT: Efficiency Analysis Trees
Description
Usage
Arguments
Value
Description
This function gets the variable and split value to be used in estimEAT, selects the best split, node indexes and leaf list.
Usage
1
split_forest(data, tree, leaves, t, x, y, numStop, arrayK)
Arguments
data
Data to be used.
tree
List structure with the tree nodes.
leaves
List with leaf nodes or pending expansion nodes.
t
Node which is being split.
x
Column input indexes in data.
y
Column output indexes in data.
numStop
Minimum number of observations on a node to be split.
arrayK
Column input indexes in data selected by s_mtry.
Value
Leaves and tree lists updated with the new child nodes.
MiriamEsteve/EAT documentation built on Jan. 18, 2022, 6:55 p.m.
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Description Usage Arguments Value
Description
This function gets the variable and split value to be used in estimEAT, selects the best split, node indexes and leaf list.
Usage
1 | split_forest(data, tree, leaves, t, x, y, numStop, arrayK)
|
Arguments
data |
Data to be used. |
tree |
List structure with the tree nodes. |
leaves |
List with leaf nodes or pending expansion nodes. |
t |
Node which is being split. |
x |
Column input indexes in data. |
y |
Column output indexes in data. |
numStop |
Minimum number of observations on a node to be split. |
arrayK |
Column input indexes in data selected by s_mtry. |
Value
Leaves and tree lists updated with the new child nodes.
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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