censored-reg.md
In tune: Tidy Tuning Tools

evaluation time

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 [tune()] parameters?
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 3]>
   2 <split [165/19]> Fold02 <tibble [1 x 4]> <tibble [0 x 3]>
   3 <split [165/19]> Fold03 <tibble [1 x 4]> <tibble [0 x 3]>
   4 <split [166/18]> Fold04 <tibble [1 x 4]> <tibble [0 x 3]>
   5 <split [166/18]> Fold05 <tibble [1 x 4]> <tibble [0 x 3]>
   6 <split [166/18]> Fold06 <tibble [1 x 4]> <tibble [0 x 3]>
   7 <split [166/18]> Fold07 <tibble [1 x 4]> <tibble [0 x 3]>
   8 <split [166/18]> Fold08 <tibble [1 x 4]> <tibble [0 x 3]>
   9 <split [166/18]> Fold09 <tibble [1 x 4]> <tibble [0 x 3]>
  10 <split [166/18]> Fold10 <tibble [1 x 4]> <tibble [0 x 3]>

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).