dot-update_initial_settings: Internal check and update of settings related to data set...
In familiar: End-to-End Automated Machine Learning and Model Evaluation

.update_initial_settings

R Documentation

Internal check and update of settings related to data set parsing

This function updates and checks parameters related to data set parsing based on the available data set.

.update_initial_settings(
  formula = NULL,
  data,
  settings,
  check_stringency = "strict"
)

`formula`	User-provided formula, may be absent (`NULL`).
`data`	Data set as loaded using the `.load_data` function.
`settings`	List of parameter settings for data set parsing.
`check_stringency`	Specifies stringency of various checks. This is mostly: `strict`: default value used for `summon_familiar`. Thoroughly checks input data. Used internally for checking development data. `external_warn`: value used for `extract_data` and related methods. Less stringent checks, but will warn for possible issues. Used internally for checking data for evaluation and explanation. `external`: value used for external methods such as `predict`. Less stringent checks, particularly for identifier and outcome columns, which may be completely absent. Used internally for `predict`.