| Package | Description |
|---|---|
| org.apache.solr.ltr |
This package contains the main logic for performing the reranking using
a Learning to Rank model.
|
| org.apache.solr.ltr.feature |
Contains Feature related classes
|
| org.apache.solr.ltr.interleaving |
Contains Various Interleaving auxiliary classes
|
| org.apache.solr.ltr.search |
APIs and classes for parsing and processing search requests
|
| Class and Description |
|---|
| DocInfo |
| FeatureLogger
FeatureLogger can be registered in a model and provide a strategy for logging
the feature values.
|
| FeatureLogger.FeatureFormat |
| LTRScoringQuery
The ranking query that is run, reranking results using the
LTRScoringModel algorithm
|
| LTRScoringQuery.FeatureInfo |
| LTRScoringQuery.ModelWeight |
| LTRScoringQuery.ModelWeight.ModelScorer |
| LTRThreadModule
The LTRThreadModule is optionally used by the
LTRQParserPlugin and
LTRFeatureLoggerTransformerFactory
classes to parallelize the creation of Feature.FeatureWeight
objects. |
| Class and Description |
|---|
| DocInfo |
| Class and Description |
|---|
| LTRRescorer
Implements the rescoring logic.
|
| LTRScoringQuery
The ranking query that is run, reranking results using the
LTRScoringModel algorithm
|
| LTRScoringQuery.ModelWeight |
| LTRThreadModule
The LTRThreadModule is optionally used by the
LTRQParserPlugin and
LTRFeatureLoggerTransformerFactory
classes to parallelize the creation of Feature.FeatureWeight
objects. |
| Class and Description |
|---|
| LTRRescorer
Implements the rescoring logic.
|
| LTRScoringQuery
The ranking query that is run, reranking results using the
LTRScoringModel algorithm
|
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