genWeights: Generate weights for RF through feature bias reduction method...
In chancejohnstone/piRF: Prediction Intervals for Random Forests
View source: R/Tung_Huang_Nyugen_Khan_2014.R
genWeights R Documentation
Generate weights for RF through feature bias reduction method outlined in Tung 2014.
Description
This function is primarily meant to be used within the TungUbRF() function. All parameters are same as in TungUbRF().
Usage
genWeights(
formula = NULL,
train_data = NULL,
feature_num_trees = feature_num_trees,
min_node_size = NULL,
m_try = NULL,
keep_inbag = TRUE,
intervals = TRUE,
alpha = alpha,
forest_type = "RF",
importance = "permutation",
R = R,
num_threads = num_threads
)
chancejohnstone/piRF documentation built on April 14, 2025, 3:02 a.m.
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View source: R/Tung_Huang_Nyugen_Khan_2014.R
| genWeights | R Documentation |
Generate weights for RF through feature bias reduction method outlined in Tung 2014.
Description
This function is primarily meant to be used within the TungUbRF() function. All parameters are same as in TungUbRF().
Usage
genWeights(
formula = NULL,
train_data = NULL,
feature_num_trees = feature_num_trees,
min_node_size = NULL,
m_try = NULL,
keep_inbag = TRUE,
intervals = TRUE,
alpha = alpha,
forest_type = "RF",
importance = "permutation",
R = R,
num_threads = num_threads
)
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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