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https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15724818#comment-15724818
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adeppa commented on SOLR-8542:
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Hi Team,
I am working on LTR master branch with solr 6.3, when i try to integrate code
in eclipse showing to me compile time errors in couple of class i.e
FieldLengthFeatureWeight,LTRScoringQuery ,After adding the unimplemented
methods to couple of class i.e
FieldValueFeatureWeight,SolrFeatureWeight,ValueFeatureWeight ,
In the LTRScoringQuery class showing error on
@Override
public ModelWeight createWeight(IndexSearcher searcher, boolean needsScores,
float boost)
throws IOException
Note :if i remove @Override error is went off ,is it any impact
and FieldLengthFeatureWeight class showing error on
public FieldLengthFeatureScorer(FeatureWeight weight,
NumericDocValues norms) throws IOException {
super(weight, norms);
Note : Here super (weight,norms ) method showing error
and
@Override
public float score() throws IOException {
final long l = norms.longValue();
Note : norms.longValue(); statement is showing error
please help me for the above error resolution
Thanks
Adeppa
> Integrate Learning to Rank into Solr
> ------------------------------------
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
> Reporter: Joshua Pantony
> Assignee: Christine Poerschke
> Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch,
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features
> directly inside Solr for use in training a machine learned model. You can
> then deploy that model to Solr and use it to rerank your top X search
> results. This concept was previously [presented by the authors at Lucene/Solr
> Revolution
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
> for a tutorial on using the plugin, in addition to how to train your own
> external model.
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