validate - asserts the following:

• outcomes must have numeric columns.

check - returns the following:

• ok A logical. Does the check pass?

• bad_classes A named list. The names are the names of problematic columns, and the values are the classes of the matching column.

## Usage

validate_outcomes_are_numeric(outcomes)

check_outcomes_are_numeric(outcomes)

## Arguments

outcomes

An object to check.

## Value

validate_outcomes_are_numeric() returns outcomes invisibly.

check_outcomes_are_numeric() returns a named list of two components, ok and bad_classes.

The expected way to use this validation function is to supply it the $outcomes element of the result of a call to mold(). ## Validation hardhat provides validation functions at two levels. • check_*(): check a condition, and return a list. The list always contains at least one element, ok, a logical that specifies if the check passed. Each check also has check specific elements in the returned list that can be used to construct meaningful error messages. • validate_*(): check a condition, and error if it does not pass. These functions call their corresponding check function, and then provide a default error message. If you, as a developer, want a different error message, then call the check_*() function yourself, and provide your own validation function. ## See also Other validation functions: validate_column_names(), validate_no_formula_duplication(), validate_outcomes_are_binary(), validate_outcomes_are_factors(), validate_outcomes_are_univariate(), validate_prediction_size(), validate_predictors_are_numeric() ## Examples # All good check_outcomes_are_numeric(mtcars) #>$ok
#> [1] TRUE
#>
#> $bad_classes #> list() #> # Species is not numeric check_outcomes_are_numeric(iris) #>$ok
#> [1] FALSE
#>
#> $bad_classes #>$bad_classes\$Species
#> [1] "factor"
#>
#>

# This gives an intelligent error message
try(validate_outcomes_are_numeric(iris))
#> Error in validate_outcomes_are_numeric(iris) :
#>   All outcomes must be numeric, but the following are not:
#> 'Species': 'factor'