Uses of Class
org.apache.solr.ltr.LTRScoringQuery.FeatureInfo

Packages that use LTRScoringQuery.FeatureInfo

Package	Description
org.apache.solr.ltr	This package contains the main logic for performing the reranking using a Learning to Rank model.

Uses of LTRScoringQuery.FeatureInfo in org.apache.solr.ltr

Methods in org.apache.solr.ltr that return LTRScoringQuery.FeatureInfo

Modifier and Type	Method	Description
static LTRScoringQuery.FeatureInfo[]	LTRRescorer.extractFeaturesInfo(LTRScoringQuery.ModelWeight modelWeight, int docid, Float originalDocScore, List<org.apache.lucene.index.LeafReaderContext> leafContexts)
LTRScoringQuery.FeatureInfo[]	LTRScoringQuery.ModelWeight.getFeaturesInfo()

Methods in org.apache.solr.ltr with parameters of type LTRScoringQuery.FeatureInfo

Modifier and Type	Method	Description
boolean	FeatureLogger.log(int docid, LTRScoringQuery scoringQuery, SolrIndexSearcher searcher, LTRScoringQuery.FeatureInfo[] featuresInfo)	Log will be called every time that the model generates the feature values for a document and a query.
String	CSVFeatureLogger.makeFeatureVector(LTRScoringQuery.FeatureInfo[] featuresInfo)
abstract String	FeatureLogger.makeFeatureVector(LTRScoringQuery.FeatureInfo[] featuresInfo)