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Multi-class classification is when you have a classification problem with multiple classes, specifically 3 or more classes. Many classifications are binary by design, therefore the additional nomenclature of multi-class classification was defined to describe algorithms capable of classifying datasets with more than 2 classes.

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SGDClassifier: Online Learning/partial_fit with a previously unknown label

It sounds like you don't want to start retraining the model every time a new label category appears. The easiest way to retain maximal information of past data would be train one classifier per catego …
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