Code
spec %>% tune_grid(Surv(time, status) ~ ., resamples = rs, metrics = mtr)
Condition
Error in `check_enough_eval_times()`:
! At least 1 evaluation time is required for the metric type(s) requested: "dynamic_survival_metric". Only 0 unique times were given.
Code
spec %>% tune_grid(Surv(time, status) ~ ., resamples = rs, metrics = reg_mtr)
Condition
Error in `tune_grid()`:
! The parsnip model has `mode` value of "censored regression", but the `metrics` is a metric set for a different model mode.
Code
linear_reg() %>% tune_grid(age ~ ., resamples = rs, metrics = reg_mtr,
eval_time = 1)
Condition
Warning in `tune_grid()`:
`eval_time` is only used for models with mode "censored regression".
Warning:
No tuning parameters have been detected, performance will be evaluated using the resamples with no tuning.
Did you want to assign any parameters with a value of `tune()`?
Output
# Tuning results
# 10-fold cross-validation using stratification
# A tibble: 10 x 4
splits id .metrics .notes
<list> <chr> <list> <list>
1 <split [164/20]> Fold01 <tibble [1 x 4]> <tibble [0 x 4]>
2 <split [165/19]> Fold02 <tibble [1 x 4]> <tibble [0 x 4]>
3 <split [165/19]> Fold03 <tibble [1 x 4]> <tibble [0 x 4]>
4 <split [166/18]> Fold04 <tibble [1 x 4]> <tibble [0 x 4]>
5 <split [166/18]> Fold05 <tibble [1 x 4]> <tibble [0 x 4]>
6 <split [166/18]> Fold06 <tibble [1 x 4]> <tibble [0 x 4]>
7 <split [166/18]> Fold07 <tibble [1 x 4]> <tibble [0 x 4]>
8 <split [166/18]> Fold08 <tibble [1 x 4]> <tibble [0 x 4]>
9 <split [166/18]> Fold09 <tibble [1 x 4]> <tibble [0 x 4]>
10 <split [166/18]> Fold10 <tibble [1 x 4]> <tibble [0 x 4]>
Code
no_usable_times <- spec %>% tune_grid(Surv(time, status) ~ ., resamples = rs,
metrics = mtr, eval_time = c(-1, Inf))
Condition
Error:
! There were no usable evaluation times (finite, non-missing, and >= 0).
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