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In the LdaTransform
, the details of the learnt model are contained in the LdaState
object. When the user wants to introspect the LDA model learnt during the transformation, we return a topic summary vector .
We need to find a proper way of returning topic summary information to the user. Specifically the words that map to the topic summary vector
For this we need to figure out how to extract details from the LdaState
object using C#. Currently LdaState
invokes native code behind the scenes to get model info.
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