A minimal implementation would pass through NaNs from the input to the output of transform and make sure the presence of NaN does not affect the categories identified in fit.

A missing_values parameter might allow the user to configure what object is a placeholder for missingness (e.g. NaN, None, etc.).

See #10465 for background