fit_x_u.model_sslr

object

is a data frame or matrix with train dataset without objective feature.
X only have labeled data

is objective feature with labeled values

train unlabeled data without objective feature

This parameter is included for compatibility reasons.

Funtion to fit with x and y and x_U.
Function calcule y with NA values and append in y param

Providing a collection of techniques for semi-supervised
classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled
data are used to train a classifier. The package includes a collection of
semi-supervised learning techniques: self-training, co-training, democratic,
decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface
that is easy to use.

Francisco Jes<c3><ba>s Palomares Alabarce

fit_x_u.model_sslr: Fit with x , y (labeled data) and unlabeled data (x_U)

Description

Usage

Arguments