metrics
argument works (differing class metric types)Code
compute_metrics(res_auc, m_set_acc)
Condition
Error in `compute_metrics()`:
! The supplied `metrics` argument has metrics of type "class", while the metrics used to generate predictions only used "prob" metrics.
i To save predictions for class metrics, generate `x` with metrics of that type.
Code
compute_metrics(res_acc, m_set_auc)
Condition
Error in `compute_metrics()`:
! The supplied `metrics` argument has metrics of type "prob", while the metrics used to generate predictions only used "class" metrics.
i To save predictions for prob metrics, generate `x` with metrics of that type.
Code
compute_metrics(res_rmse, metric_set(rsq))
Condition
Error in `compute_metrics()`:
! `x` must have been generated with the control argument `save_pred = TRUE`.
Code
compute_metrics("boop", metric_set(rsq))
Condition
Error in `compute_metrics()`:
! No `compute_metrics()` method exists for a string.
Code
compute_metrics(res_rmse_save_pred, "wheee")
Condition
Error in `compute_metrics()`:
! `metrics` must be a metric set.
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