prediction: Function that does prediction based on the fitted models for...
In StevenBoys/Ensemblelearn: Use Ensemble learning to better prediction.

Description Usage Arguments Value Examples

Function that does prediction based on the fitted models for the new coming data

1	prediction(x, model_train, parallel)

`x`	- the new coming data that we want to do prediction on
`model_train`	- the list of models trained on the training data
`parallel`	- logical value, true if its results will be combined in parallel

The multiple estimation based on the multiple weak models if in parallel, otherwise the final estimation.

x = matrix(rnorm(1000), 200, 5)
y <- x %*% rnorm(5) + rnorm(200, 0, 3)
parallel <- TRUE
coef <- lm(y ~ -1 + x)$coefficients
model_train <- list()
model_train[[1]] <- function(x){
  x <- matrix(x, ncol = length(coef))
  x %*% coef
}
x_new <- matrix(rnorm(5), 1, 5)
prediction(x_new, model_train, parallel)