hhcartr_regressor_find_better_split: hhcartr_regressor_find_better_split finds the best feature to...
In hhcartr: HHCART(G) - A Reflected Feature Space for CART
Description
Usage
Arguments
Value
View source: R/hhcartr_regressor_find_better_split.R
Description
This internal function is used by the regressor model to find the feature column that will offer
the best split based on sum of squares.
Usage
1
hhcartr_regressor_find_better_split(X, y, max_features)
Arguments
X
feature variables to search for the best split.
y
target variable.
max_features
the maximum number of features to use when splitting a node
Value
a list of the following variables (var_idx_, split_, score_)
hhcartr documentation built on July 2, 2021, 9:06 a.m.
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Description Usage Arguments Value
View source: R/hhcartr_regressor_find_better_split.R
Description
This internal function is used by the regressor model to find the feature column that will offer the best split based on sum of squares.
Usage
1 | hhcartr_regressor_find_better_split(X, y, max_features)
|
Arguments
X |
feature variables to search for the best split. |
y |
target variable. |
max_features |
the maximum number of features to use when splitting a node |
Value
a list of the following variables (var_idx_, split_, score_)
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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