Adding RobustOrdinalEncoder

zkarnin commented 4 years ago

RobustOrdinalEncoder acts like an sklearn OrdinalEncoder, but does not throw an exception when encountering an unobserved value. Instead, it assigns it to the integer num_values. For example, if during fit we observe two values 'Cat', 'Dog', but in transform we observe 'Elephant' and 'Horse'. Both will be encoded as 2. In the inverse transform the mapping of unknown values is converted to None. Notice that this will cause the array type to be 'object'. This is consistent with the behaviour of sklearn's OneHotEncoder.

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