I'm aware of how to use LabelEncoder to convert string classes to numeric
and back again. However, in my applications, I frequently save my models to
disk (by pickling them) and reload them when I want to use them. When I use
predict(), it of course returns only numerical classes, and if you don't
remember what the numbers stood for, it's useless. Is there a way to
somehow include a LabelEncoder in with the classifier object model when it
is saved, so I don't have to write the class encodings to a separate file
somewhere else?
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