Obtain scalar forecast from random forest (ranger) model

Obtain scalar forecast from random forest (ranger) model

ranger_2_scalar_forecast(model, h = 1, target = "value", model_sample)

Arguments

model	estimated ranger model
h	forecasting horizon
target	name of the target variable
model_sample	non-augmented data set for model estimation

Value

scalar forecast for given h

Details

Obtain scalar forecast from random forest (ranger) model. The function automatically augments data with lags, fourier terms, trend etc.

Examples

test_ts = stats::ts(rnorm(100), start = c(2000, 1), freq = 12)
test_tsibble = tsibble::as_tsibble(test_ts)
model = ranger_fun(test_tsibble, h = 1)
ranger_2_scalar_forecast(model, h = 1, model_sample = test_tsibble)
#> [1] 0.08930897