set_encoding.md
In modelenv: Provide Tools to Register Models for Use in 'tidymodels'

set_encoding() errors with wrong `model` argument

Code
  set_encoding("light")
Error <rlang_error>
  Model `light` has not been registered.

Code
  set_encoding(model = c("bear", "rabbit"), mode = "partition", eng = "stats",
  options = list(predictor_indicators = "traditional", compute_intercept = TRUE,
    remove_intercept = TRUE, allow_sparse_x = FALSE))
Error <rlang_error>
  Please supply a character string for a model name (e.g. `'k_means'`).

set_encoding() errors with wrong `mode` argument

Code
  set_encoding("sticker")
Error <rlang_error>
  Please supply a character string for a mode (e.g. `'partition'`).

Code
  set_encoding("sticker", c("classification", "regression"))
Error <rlang_error>
  Please supply a character string for a mode (e.g. `'partition'`).

Code
  set_encoding("sticker", NULL)
Error <rlang_error>
  Please supply a character string for a mode (e.g. `'partition'`).

Code
  set_encoding(model = "sticker", mode = "not partition", eng = "stats", options = list(
    predictor_indicators = "traditional", compute_intercept = TRUE,
    remove_intercept = TRUE, allow_sparse_x = FALSE))
Error <rlang_error>
  'not partition' is not a known mode for model `sticker()`.

set_encoding() errors with wrong `engine` argument

Code
  set_encoding("lantern", "partition")
Error <rlang_error>
  Please supply a character string for an engine name (e.g. `'stats'`).

Code
  set_encoding("lantern", "partition", c("glmnet", "stats"))
Error <rlang_error>
  Please supply a character string for an engine name (e.g. `'stats'`).

Code
  set_model_engine("lantern", "partition", NULL)
Error <rlang_error>
  Please supply a character string for an engine name (e.g. `'stats'`).

set_encoding() errors with wrong `value` argument

Code
  set_encoding("chain", "partition", "stats")
Error <rlang_error>
  `values` should be a list.

Code
  set_encoding("chain", "partition", "stats", NULL)
Error <rlang_error>
  `values` should be a list.

Code
  set_encoding(model = "chain", mode = "partition", eng = "stats", options = list(
    compute_intercept = TRUE, remove_intercept = TRUE, allow_sparse_x = FALSE))
Error <rlang_error>
  The values passed to `set_encoding()` are missing arguments: 'predictor_indicators'

Code
  set_encoding(model = "chain", mode = "partition", eng = "stats", options = list(
    predictor_indicators = "traditional", remove_intercept = TRUE,
    allow_sparse_x = FALSE))
Error <rlang_error>
  The values passed to `set_encoding()` are missing arguments: 'compute_intercept'

Code
  set_encoding(model = "chain", mode = "partition", eng = "stats", options = list(
    predictor_indicators = "traditional", compute_intercept = TRUE,
    allow_sparse_x = FALSE))
Error <rlang_error>
  The values passed to `set_encoding()` are missing arguments: 'remove_intercept'

Code
  set_encoding(model = "chain", mode = "partition", eng = "stats", options = list(
    predictor_indicators = "traditional", compute_intercept = TRUE,
    remove_intercept = TRUE))
Error <rlang_error>
  The values passed to `set_encoding()` are missing arguments: 'allow_sparse_x'

Code
  set_encoding(model = "chain", mode = "partition", eng = "stats", options = list(
    predictor_indicators = "traditional", compute_intercept = TRUE,
    remove_intercept = TRUE, allow_sparse_x = FALSE, additional = "arg"))
Error <rlang_error>
  The values passed to `set_encoding()` had extra arguments: 'additional'

is_discordant_info() triggers for set_encoding()

Code
  set_encoding(model = "longs", mode = "partition", eng = "stats", options = list(
    predictor_indicators = "traditional", compute_intercept = FALSE,
    remove_intercept = TRUE, allow_sparse_x = FALSE))
Error <rlang_error>
  The combination of engine 'stats' and mode 'partition'  already has encoding data for model 'longs' and the new information being registered is different.