1.
So I think it is a spark problem first (https://issues.apache.org/jir
a/browse/SPARK-10413). What we can do is to create our own model (cf
https://github.com/apache/lucene-solr/tree/master/solr/contr
ib/ltr/src/java/org/apache/solr/ltr/model) that applies the prediction, it
should be easy to do
The difference seems due to the fact that default similarity in solr 7 is
BM25 while it used to be TF-IDF in solr 4. As you realised, BM25 function
is smoother.
You can configure schema.xml to use ClassicSimilarity, for instance
Hi,
It is not possible in general because similarities are computing norms at
index time. (
https://github.com/apache/lucene-solr/blob/master/lucene/core/src/java/org/apache/lucene/search/similarities/Similarity.java#L46
)
My understanding is that you should double a field and set different
