lucene-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From ctarg...@apache.org
Subject [lucene-solr] 01/02: SOLR-14560: ref guide: remove references to XML output when examples are all JSON
Date Fri, 15 Jan 2021 21:01:30 GMT
This is an automated email from the ASF dual-hosted git repository.

ctargett pushed a commit to branch branch_8_8
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git

commit 92a71a3b35604b42f0462018176d7e081d5da8a9
Author: Cassandra Targett <ctargett@apache.org>
AuthorDate: Thu Jan 14 15:07:22 2021 -0600

    SOLR-14560: ref guide: remove references to XML output when examples are all JSON
---
 solr/solr-ref-guide/src/learning-to-rank.adoc | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/solr/solr-ref-guide/src/learning-to-rank.adoc b/solr/solr-ref-guide/src/learning-to-rank.adoc
index 6f54b86..4edd554 100644
--- a/solr/solr-ref-guide/src/learning-to-rank.adoc
+++ b/solr/solr-ref-guide/src/learning-to-rank.adoc
@@ -158,7 +158,7 @@ To extract features as part of a query, add `[features]` to the `fl` parameter,
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&fl=id,score,[features]
 
-The output XML will include feature values as a comma-separated list, resembling the output
shown here:
+The output will include feature values as a comma-separated list, resembling the output shown
here:
 
 [source,json]
 ----
@@ -223,14 +223,14 @@ To rerank the results of a query, add the `rq` parameter to your search,
for exa
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=myModel reRankDocs=100}&fl=id,score
 
-The addition of the `rq` parameter will not change the output XML of the search.
+The addition of the `rq` parameter will not change the output of the search.
 
 To obtain the feature values computed during reranking, add `[features]` to the `fl` parameter,
for example:
 
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=myModel reRankDocs=100}&fl=id,score,[features]
 
-The output XML will include feature values as a comma-separated list, resembling the output
shown here:
+The output will include feature values as a comma-separated list, resembling the output shown
here:
 
 [source,json]
 ----
@@ -266,7 +266,7 @@ To obtain the model that interleaving picked for a search result, computed
durin
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=myModelA model=myModelB
reRankDocs=100}&fl=id,score,[interleaving]
 
-The output XML will include the model picked for each search result, resembling the output
shown here:
+The output will include the model picked for each search result, resembling the output shown
here:
 
 [source,json]
 ----
@@ -291,21 +291,21 @@ The output XML will include the model picked for each search result,
resembling
 ----
 
 === Running a Rerank Query Interleaving a model with the original ranking
-When approaching Search Quality Evaluation with interleaving it may be useful to compare
a model with the original ranking. 
+When approaching Search Quality Evaluation with interleaving it may be useful to compare
a model with the original ranking.
 To rerank the results of a query, interleaving a model with the original ranking, add the
`rq` parameter to your search, passing the special inbuilt `_OriginalRanking_` model identifier
as one model and your comparison model as the other model, for example:
 
 
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=_OriginalRanking_
model=myModel reRankDocs=100}&fl=id,score
 
-The addition of the `rq` parameter will not change the output XML of the search.
+The addition of the `rq` parameter will not change the output of the search.
 
 To obtain the model that interleaving picked for a search result, computed during reranking,
add `[interleaving]` to the `fl` parameter, for example:
 
 [source,text]
 http://localhost:8983/solr/techproducts/query?q=test&rq={!ltr model=_OriginalRanking_
model=myModel reRankDocs=100}&fl=id,score,[interleaving]
 
-The output XML will include the model picked for each search result, resembling the output
shown here:
+The output will include the model picked for each search result, resembling the output shown
here:
 
 [source,json]
 ----


Mime
View raw message