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At the moment you would have to parse the model string to obtain the type of the model used by the ranklib library (i.e. LambdaRank, ListNet). As mentioned in slack by @nomoa the model is parsed on insertion. So theoretically we could deduce the type of model in that phase and insert is as sort of a meta data field in the document. That way obtaining the models and explaining the type of the used model in a generic tool becomes a lot easier.
The text was updated successfully, but these errors were encountered:
At the moment you would have to parse the model string to obtain the type of the model used by the ranklib library (i.e. LambdaRank, ListNet). As mentioned in slack by @nomoa the model is parsed on insertion. So theoretically we could deduce the type of model in that phase and insert is as sort of a meta data field in the document. That way obtaining the models and explaining the type of the used model in a generic tool becomes a lot easier.
The text was updated successfully, but these errors were encountered: