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Creating a model per category
Generates models for a dataset, simulating a root split on a given field.
- Given an input dataset and one of its categorical fields, create a dataset for each field category.
For each category dataset, create a model of the given kind.
If the provided field has missing values in the input dataset, a model for instances with missing as their "category" will also be created.
- Return a map with the list of datasets, models and categories for use during predictions.
The lists are returned in a map as the execution's
result, for later
convenience, as well as in the output named "result".