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 a data frame or `NULL`, not the number 1.
Code
classification_cost(df, obs, A, costs = data.frame())
Condition
Error in `classification_cost()`:
! `costs` must be a data.frame with 3 columns, not 0.
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". Not x, y, and z.
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$truth` must be a character or factor column, not a double vector.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$estimate` must be a character or factor column, not a double vector.
Code
classification_cost(df, obs, A, costs = costs)
Condition
Error in `classification_cost()`:
! `costs$cost` must be a numeric column, not a character vector.
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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