Package | Description |
---|---|
org.apache.solr.ltr.model |
Contains Model related classes
|
org.apache.solr.ltr.norm |
A normalizer normalizes the value of a feature.
|
Modifier and Type | Field and Description |
---|---|
protected List<Normalizer> |
LTRScoringModel.norms |
Modifier and Type | Method and Description |
---|---|
List<Normalizer> |
WrapperModel.getNorms() |
List<Normalizer> |
LTRScoringModel.getNorms() |
Modifier and Type | Method and Description |
---|---|
static LTRScoringModel |
LTRScoringModel.getInstance(SolrResourceLoader solrResourceLoader,
String className,
String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
Constructor and Description |
---|
AdapterModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
DefaultWrapperModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
LinearModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
LTRScoringModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
MultipleAdditiveTreesModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
NeuralNetworkModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
WrapperModel(String name,
List<Feature> features,
List<Normalizer> norms,
String featureStoreName,
List<Feature> allFeatures,
Map<String,Object> params) |
Modifier and Type | Class and Description |
---|---|
class |
IdentityNormalizer
A Normalizer that normalizes a feature value to itself.
|
class |
MinMaxNormalizer
A Normalizer to scale a feature value using a (min,max) range.
|
class |
StandardNormalizer
A Normalizer to scale a feature value around an average-and-standard-deviation distribution.
|
Modifier and Type | Method and Description |
---|---|
static Normalizer |
Normalizer.getInstance(SolrResourceLoader solrResourceLoader,
String className,
Map<String,Object> params) |
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