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

a single predictor is handled

Code
  round_print(tidypredict_fit(model)[["setosa"]])
Output
  [1] "1/(1 + exp(-1.098612 + ifelse(is.na(Petal.Width), 0, 1.620738 - ((Petal.Width - 1.326)^2/0.07821224)) - (-1.098612 + ifelse(is.na(Petal.Width), 0, 2.250129 - ((Petal.Width - 0.246)^2/0.02221224)))) + exp(-1.098612 + ifelse(is.na(Petal.Width), 0, 1.292258 - ((Petal.Width - 2.026)^2/0.1508653)) - (-1.098612 + ifelse(is.na(Petal.Width), 0, 2.250129 - ((Petal.Width - 0.246)^2/0.02221224)))))"

kernel density fits are rejected

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! `tidypredict_fit()` does not support `klaR::NaiveBayes()` models fit with kernel density estimates.
  i Refit with `usekernel = FALSE`.

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! `tidypredict_fit()` does not support `klaR::NaiveBayes()` models fit with kernel density estimates.
  i Refit with `usekernel = FALSE`.

tidypredict_test errors for NaiveBayes models

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

naive_bayes handles binary outcomes and a single predictor

Code
  round_print(tf[["0"]])
Output
  [1] "1/(1 + exp(-0.9007865 + ifelse(is.na(mpg), 0, -1.819132 - ((mpg - 24.39231)^2/76.05154)) - (-0.5212969 + ifelse(is.na(mpg), 0, -1.3439 - ((mpg - 17.14737)^2/29.3986)))))"

naive_bayes kernel density fits are rejected

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! `tidypredict_fit()` does not support `naivebayes::naive_bayes()` models fit with kernel density estimates.
  i Refit with `usekernel = FALSE`.

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! `tidypredict_fit()` does not support `naivebayes::naive_bayes()` models fit with kernel density estimates.
  i Refit with `usekernel = FALSE`.

tidypredict_test errors for naive_bayes models

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