compute_wanbia_weights {bnclassify} | R Documentation |
Compute WANBIA weights. Computes feature weights by optimizing conditional log-likelihood. Weights are bounded to [0, 1]. Implementation based on the original paper and the code provided at https://sourceforge.net/projects/rawnaivebayes.
Description
Compute WANBIA weights.
Computes feature weights by optimizing conditional log-likelihood. Weights are bounded to [0, 1]. Implementation based on the original paper and the code provided at https://sourceforge.net/projects/rawnaivebayes.
Usage
compute_wanbia_weights(class, dataset, return_optim_object = FALSE)
Arguments
class |
A character. Name of the class variable. |
dataset |
The data frame from which to learn feature weights |
return_optim_object |
Return full output of 'optim' |
Value
a named numeric vector
[Package bnclassify version 0.4.8 Index]