configure_discarded_categories
Configures a minimum number of rows in a category below which the category will be hidden from the variable’s filter view.
Usage
The following example shows 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).
A list of threshold configurations. A categorical column can have two kinds of thresholds determining whether specific categories will be hidden from its view in the UI: a minimum number of rows in the current selection below which a category will be hidden, or a minimum number of rows in the whole dataset (everything).
The thresholds parameter should be a list containing 1 or 2 objects: the configuration of a selection
threshold, and/or the configuration of a threshold for everything.
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