Use pandas categorical dtype encoding where applicable
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enhancement
needs design
spike
- Langage dominant
- Python
- Étoiles
- 850
- Forks
- 96
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Description
- Woodwork uses the `category` dtype where applicable for certain Logical Types.
- One of the [benefits](https://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html) of using this pandas dtype is that pandas will automatically encode the column and provide you with a mapping.
- EvalML is currently not using this functionality and may benefit from it (possible in the **OneHotEncoder**?)
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