targeting.
> In my specific use case, I opted for option A,
> and wrote a simple script that generates the features.json so I wouldn't
> have to write 100 similar features by hand. You
> also mentioned that you want to extract features sparsely. You can change
> the configuratio
Hi,
I found that solr learning-to-rank (LTR) supports only ONE feature
for a given feature extractor.
See interface:
https://github.com/apache/lucene-solr/blob/master/solr/contrib/ltr/src/java/org/apache/solr/ltr/feature/Feature.java
Line (281, 282) (in FeatureScorer)
@Override
public
Hi,
I created a toy learning-to-rank model in solr in order to show the issues.
Feature.json
-
[
{
"store" : "wikiFeatureStore",
"name" : "doc_len",
"class" : "org.apache.solr.ltr.feature.FieldLengthFeature",
"params" : {"field":"a_text"}
},
{
"store" :
