Double warning for all-unique, not-ignored columns

[michaellevy]

Only the warning from prep_data should be surfaced.

suppressPackageStartupMessages(library(healthcareai))
data.frame(x = letters, y = 1:26) %>% 
  prep_data()
#> Warning in find_columns_to_ignore(d, c(rlang::quo_name(outcome), ignored)):
#> The following column(s) have a unique value for every row so will be
#> ignored: x
#> Warning in prep_data(.): The following variable(s) look a lot like
#> identifiers: They are character-type and have a unique value on every row.
#> They will be ignored: x
#> Training new data prep recipe...
#> , with no outcome variable specified
#> healthcareai-prepped data. Recipe used to prepare data:
#> Data Recipe
#> 
#> Inputs:
#> 
#>       role #variables
#>  predictor          1
#> 
#> Training data contained 26 data points and no missing data.
#> 
#> Operations:
#> 
#> Sparse, unbalanced variable filter removed no terms [trained]
#> Mean Imputation for y [trained]
#> Current data:
#> # A tibble: 26 x 2
#>    x         y
#>    <fct> <int>
#>  1 a         1
#>  2 b         2
#>  3 c         3
#>  4 d         4
#>  5 e         5
#>  6 f         6
#>  7 g         7
#>  8 h         8
#>  9 i         9
#> 10 j        10
#> # ... with 16 more rows

Created on 2018-08-13 by the reprex package (v0.2.0).

[jeremykohn]

@michaellevy Hi, I'm new to the project and looking for a good first issue to work on. Is this issue available?