[scikit-learn] transform categorical data to numerical representation

[Georg Heiler]

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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