The output, if transformation is successful, will always be an ordinal (ordered category) column, even if the input was an unordered category or not a Category at all. I.e. it is supposed that re-ordering the categories means the order is important.

If the input column is already a category:

  • If unordered (non-ordinal): categories will be ordered in the given order (converted to ordinal)
  • If ordered (ordinal): categories will be re-ordered only

In both cases, the specified categories have to match the ones already existing. I.e. only re-ordering is allowed, but not deletion or addition of new categories.

If the column is not already a category:

  • the column will be converted if the param force_categorical is true, and ordered as desired. Otherwise the new column will be identical to the input (no ordering performed).

Usage

The following examples show how the step can be used in a recipe.

Inputs & Outputs

The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced by name e.g. "churn-clf").

Configuration

The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).