Methods for multiple target or output regression
Usage:
library("multtarreg")
# create random data
set.seed(1); x <- matrix(rnorm(100), ncol = 10)
set.seed(2); x_new <- matrix(rnorm(100), ncol = 10)
set.seed(3); y <- matrix(rnorm(30), ncol = 3)
# example
temp <- mtr$new(method = "st") # instantiate a mutiple target regressor
temp$fit(x, y) # regress
temp$predict(x_new) # predict
Methods:
- single_target (done)
TODO:
- mtrs
- mtrs_extended
- rc
- rcCV
- nnet
License: GPL-3
Contribution: Suggestions and PR are welcome! A survey on multi-output regression by Hanen Borchani et al seems to be a good start point.