H
i,
I was wondering if there is some way to save something like a model file
on the disk after we build a classifier from a dataset. The API
documentation lists the methods "buildClassifier" which basically trains
and builds any classifier and "classify" which classifies an instance using
this classifier. So effectively it means I have to build a classifier every
time I want to classify some instances which takes up lot of resource. Is
there a way to save the classifier after "buildClassifier" which could be
loaded into the memory any time we want to classify some instance?
Regards,
Ritesh
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