model-sparsediscrim.md
In tidypredict: Run Predictions Inside the Database

returns the right output

Code
  lapply(lps, round_print)
Output
  [[1]]
  [1] "-107.9308 + (Sepal.Length * 19.27549) + (Sepal.Width * 30.31482) + (Petal.Length * 8.055807) + (Petal.Width * 5.993568)"

  [[2]]
  [1] "-174.2806 + (Sepal.Length * 22.85644) + (Sepal.Width * 24.49593) + (Petal.Length * 23.47314) + (Petal.Width * 32.30679)"

  [[3]]
  [1] "-258.6928 + (Sepal.Length * 25.36695) + (Sepal.Width * 26.29996) + (Petal.Length * 30.59223) + (Petal.Width * 49.36166)"

a colliding model matrix column is rejected (#398)

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model_sparsediscrim()`:
  x Two predictors expanded into the same model matrix column "gy2".
  i `sparsediscrim::predict()` cannot tell them apart either. Rename the predictor or the factor level it collides with.

an ordered factor is rejected with parsnip (#393)

Code
  tidypredict_fit(model)
Condition
  Error in `acceptable_ordered()`:
  ! The treatment contrast is the only one supported at this time. Field(s) with an invalid contrast are: "f".

inline formula functions are rejected

Code
  parse_model(model)
Condition
  Error in `acceptable_lm()`:
  x Functions inside the formula are not supported.
  i Functions detected: "log".  Use `dplyr` transformations to prepare the data.

tidypredict_test errors for sparsediscrim models

Code
  tidypredict_test(model, iris)
Condition
  Error in `tidypredict_test()`:
  ! `tidypredict_test()` does not support sparsediscrim models.
  i Use `tidypredict_fit()` directly for multiclass predictions.