Fast Class Noise Detector with Multi-Factor-Based Learning
OPTION to convert categorical features TO either numeric [ if levels m...
shuffle data
this function returns a table of probabilities for each label
this function returns the probabilities in case of classification
stratified folds (in classification) [ detailed information about clas...
this function compute entropy
Fast Class Noise Detector with Multi-Factor-Based Learning
this function is used as a kernel-function-identifier [ takes the dist...
kernel k-nearest-neighbors
The Max-Min Normalization
this function normalizes the data
PCA Plot of the Noise Score of Each Individual
create folds (in regression) [ detailed information about class_folds ...
Arithmetic operations on lists
Tuning For Fast Class Noise Detector with Multi-Factor-Based Learning
A fast class noise detector which provides noise score for each observations. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.