Randomforest: Function that implement the algorithm of Ensemble learning in...
In StevenBoys/Ensemblelearn: Use Ensemble learning to better prediction.

Description Usage Arguments Value Examples

Function that implement the algorithm of Ensemble learning in Random Forest

1	Randomforest(data, model_num, fweak = dt_reg)

`data`	- list of data that fweak need
`model_num`	- the number of weak models you want to train and combine
`fweak`	- function that generates estimate from weak model based on input

A list of

`fitted_value`	- fitted value on the training dataset based on the trained model
`model_train`	- a list of trained weak models

x <- matrix(rnorm(4000), 200, 20)
beta <- rnorm(5)
y <- x[, 1:length(beta)] %*% beta + rnorm(200)
data <- list(x = x, y = y)
model_num <- 100
Randomforest(data, model_num)