prob-classification_cost.md
In yardstick: Tidy Characterizations of Model Performance

errors with class_pred input

Code
  classification_cost_vec(cp_truth, estimate)
Condition
  Error in `classification_cost_vec()`:
  ! `truth` should not a <class_pred> object.

na_rm argument check

Code
  classification_cost_vec(1, 1, na_rm = "yes")
Condition
  Error in `classification_cost_vec()`:
  ! `na_rm` must be `TRUE` or `FALSE`, not the string "yes".

binary - requires 1 column of probabilities

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 `...`.

costs must be a data frame with the right column names

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.

costs$estimate must contain the right levels

Code
  classification_cost(df, obs, A, costs = costs)
Condition
  Error in `classification_cost()`:
  ! `costs$estimate` can only contain 'A', 'B'.

costs$truth must contain the right levels

Code
  classification_cost(df, obs, A, costs = costs)
Condition
  Error in `classification_cost()`:
  ! `costs$truth` can only contain 'A', 'B'.

costs$truth, costs$estimate, and costs$cost must have the right type

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.

costs$truth and costs$estimate cannot contain duplicate pairs

Code
  classification_cost(df, obs, A, costs = costs)
Condition
  Error in `classification_cost()`:
  ! costs cannot have duplicate truth / estimate combinations.