Hi, the LabelEncooder is only meant for a single column i.e. target variable. Is the DictVectorizeer or a manual chaining of multiple LabelEncoders (one per categorical column) the desired way to get values which can be fed into a subsequent classifier?
Is there some way I have overlooked which works better and possibly also can handle unseen values by applying most frequent imputation? regards, Georg
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