Combine one prediction per member into one prediction — ensemble_combine • timesift

Combine one prediction per member into one prediction

Usage

ensemble_combine(stack, preds)

Arguments

stack: A ensemble_fit() result.
preds: Named list of [target, response] matrices, one per member of the stack.

Value

One [target, response] matrix.

Examples

set.seed(1)
y <- matrix(rbinom(200, 1, 0.4), nrow = 50,
            dimnames = list(sprintf("p%02d", 1:50), paste0("sp", 1:4)))
folds <- fold_map(y, v = 5)
truth <- matrix(runif(200), nrow = 50, dimnames = dimnames(y))
oof <- list(good = 0.8 * y + 0.2 * truth, noise = truth)
st <- ensemble_fit(oof, y, scorable_cells(y, folds), folds)
dim(ensemble_combine(st, oof))