On 11/06/2013 05:00 PM, Jim wrote: >> Then you don't need a OneVsRestClassifier as OvR is the default >> strategy for SGD. You do need to put a maximum on the number of >> classes before you start learning, though. > I see. Thank you for the advice. This was initial novice iteration of the > solution and needs improvement of course. In terms of which, in order to > keep the behaviour of the classifier consistent, instead of a single > classifier with thousands of categories wouldn't it be better > to build an ensemble of classifiers with a hierarchy(similar dataset, less > collision since the noise from the other classes is reduced and > I can define the solution-flow custom to the category chosen) say, > > Classifiers > | > ---------------------------------------- > | | ------- | > Type A Type B Type N (total types = 5 or 6) > | > | -- > ----------------------------------- > | | -------- | > Category A Category B Category N (N = atmost 1000) > I would venture that which one is better would depend on the nature of your data. Do you know the number of types beforehand? And do all types have 1000 categories?
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