Nothing
Code
classification_cost(two_class_example, truth, Class1:Class2)
Condition
Error in `classification_cost()`:
! You are using a binary metric but have passed multiple columns to `...`.
Code
classification_cost(df, obs, A, costs = 1)
Condition
Error in `classification_cost()`:
! `costs` must be `NULL` or a data.frame.
Code
classification_cost(df, obs, A, costs = data.frame())
Condition
Error in `classification_cost()`:
! `costs` must be a data.frame with 3 columns.
Code
classification_cost(df, obs, A, costs = data.frame(x = 1, y = 2, z = 3))
Condition
Error in `classification_cost()`:
! `costs` must have columns: 'truth', 'estimate', and 'cost'.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$estimate` can only contain 'A', 'B'.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$truth` can only contain 'A', 'B'.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$truth` must be a character or factor column.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$estimate` must be a character or factor column.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$cost` must be a numeric column.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs` cannot have duplicate 'truth' / 'estimate' combinations.
Code
classification_cost_vec(cp_truth, estimate)
Condition
Error in `classification_cost_vec()`:
! `truth` should not a `class_pred` object.
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