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https://issues.apache.org/jira/browse/SOLR-10450?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessandro Benedetti closed SOLR-10450.
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Resolution: Duplicate
it is likely a network error that caused the double creation.
Apologies
> [LTR] Explain summarization improvement for LambdaMART
> ------------------------------------------------------
>
> Key: SOLR-10450
> URL: https://issues.apache.org/jira/browse/SOLR-10450
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Alessandro Benedetti
>
> The current explain for the LambdaMART model is quite nice and human readable.
> But if you have big ensemble of trees and big trees, it becomes almost
> impossible to explain why document has a specific score.
> *Scenario*
> LambdaMART model with 100 trees, each tree quite tall
> A summarized explain in addition, could help.
> This could be as advanced as we want :
> Simple -> we fetch the features evaluated when scoring, and we return the
> most occurring ones
> Intermediate -> we return the most occurring features when scoring,
> highlighting the positive matches ( go RIGHT for binary features can be more
> relevant)
> Advanced -> we order first the trees by how much they influenced the final
> score and we add this information to the summary weighting differently the
> features.
> More advanced strategies are welcome, this could really help when explaining
> the score of a document running the lambdaMART model.
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