Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How is the final score of a LambdaMart model calculated? #460

Open
meg261995 opened this issue Apr 7, 2023 · 0 comments
Open

How is the final score of a LambdaMart model calculated? #460

meg261995 opened this issue Apr 7, 2023 · 0 comments

Comments

@meg261995
Copy link

So I am using Elasticsearch LTR plugin for ranking purposes and I have trained an sltr model "my-model" with 4 features.. The below is the explanation of how the score is calculated got by the "explain" parameter of the query. I understood the inner details but having a trouble in understanding how the final score 2.777. Usually the description mentions if the score is either a "product of ","sum of", "min or max". Here I am not able to understand. Can anyone please help me with this:

{ "value": 2.777724,
"description": " LtrModel: LambdaMART using features:",
"details": [ { "value": 12.079079, "description": "Feature 0('feat1')", "details": [ ..... ] },
{ "value": 17.195917, "description": "Feature 1(feat2):", "details": [ ... ] },
{ "value": 0, "description": "Feature 2(feat3):", "details": [ .... ] },
{ "value": 0.8042648, "description": "Feature 3(feat4):", "details": [ .... ] } }

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant