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 http://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 http://sourceforge.net/projects/rawnaivebayes.

Usage

compute_wanbia_weights(class, dataset, return_optim_object = FALSE)

Arguments

class

character

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 0.4.2 Index]