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peterdm avatar peterdm commented on May 27, 2024 1

ranklib_standalone_test.tar.gz

from elasticsearch-learning-to-rank.

softwaredoug avatar softwaredoug commented on May 27, 2024

I was similarly puzzled, but when I run the query below, I get two docs with a score of 1.0, not the field value I expected. When documents are missing a feature, they get a vaue of 0.0. So all 3 would take the left split

GET /rando/_search 
{
    "query": {
        "script": {
            "script": {
                    "lang": "expression",
                    "inline": "doc['lucky_number']"
                  }
        }
    
    }
}

from elasticsearch-learning-to-rank.

softwaredoug avatar softwaredoug commented on May 27, 2024

Using a function_score_query with a field value factor works:

GET /rando/_search
{
   "query": {
      "ltr": {
         "model": {
            "stored": "testmodel"
         },
         "features": [
            {
               "function_score": {
                  "query": {
                     "match_all": {}
                  },
                  "functions": [
                     {
                        "field_value_factor": {
                           "field": "lucky_number"
                        }
                     }
                  ]
               }
            }
         ]
      }
   },
   "script_fields": {
      "1": {
         "script": {
            "lang": "expression",
            "inline": "doc['lucky_number']"
         }
      }
   },
   "_source": true
}

from elasticsearch-learning-to-rank.

peterdm avatar peterdm commented on May 27, 2024

Awesome. Better RTFD prevailed! Thanks.

from elasticsearch-learning-to-rank.

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