All models failed Modeltime Calibration:

[nomanres]

I have a set of equal univariate timeseries with id and prepared recipe like this:

rec_obj <- recipe(value ~ ., training(splits)) %>% step_mutate_at(id, fn = droplevels) %>% step_date(date, features = c("month", "quarter", "year")) %>% step_mutate(dt = as.numeric(date)) %>% step_rm(date) %>% step_dummy(all_nominal_predictors(), one_hot = TRUE)

And I use code from Forecasting with Global Models (modeltime 1.2.8.9000) with xgboost model. I cannot calibrate my model calib_tbl <- model_tbl %>% modeltime_calibrate( new_data = testing(splits), id = "id" )

calib_tbl

[nomanres]

using step_timeseries_signature() gives the same error

[mdancho84]

Without a full reproducible example, I'm not able to help.

Ideas: Try updating your R packages.