Package | Description |
---|---|
net.librec.eval | |
net.librec.eval.ranking | |
net.librec.eval.rating | |
net.librec.job | |
net.librec.recommender |
Modifier and Type | Class and Description |
---|---|
class |
AbstractRecommenderEvaluator
Abstract Recommender Evaluator
|
Modifier and Type | Method and Description |
---|---|
java.lang.Class<? extends RecommenderEvaluator> |
Measure.getEvaluatorClass()
Return the Class object of the evaluator.
|
Modifier and Type | Class and Description |
---|---|
class |
AUCEvaluator
AUCEvaluator
|
class |
AveragePrecisionEvaluator
AveragePrecisionEvaluator, calculate the MAP@n
|
class |
AverageReciprocalHitRankEvaluator
HitRateEvaluator
|
class |
DiversityEvaluator
DiversityEvaluator, average dissimilarity of all pairs of items in the
recommended list at a specific cutoff position.
|
class |
HitRateEvaluator
HitRateEvaluator
|
class |
IdealDCGEvaluator
IdealDCGEvaluator
|
class |
NormalizedDCGEvaluator
NormalizedDCGEvaluator @topN
|
class |
PrecisionEvaluator
PrecisionEvaluator, calculate precision@n
|
class |
RecallEvaluator
RecallEvaluator, calculate recall@n
|
class |
ReciprocalRankEvaluator
ReciprocalRankEvaluator
|
Modifier and Type | Class and Description |
---|---|
class |
MAEEvaluator
MAE: mean absolute error
|
class |
MPEEvaluator
MPE Evaluator
|
class |
MSEEvaluator
MSE: mean square error
|
class |
RMSEEvaluator
RMSE: root mean square error
|
Modifier and Type | Method and Description |
---|---|
java.lang.Class<? extends RecommenderEvaluator> |
RecommenderJob.getEvaluatorClass(java.lang.String evalClassKey)
Get evaluator class.
|
Modifier and Type | Method and Description |
---|---|
double |
TensorRecommender.evaluate(RecommenderEvaluator evaluator) |
double |
Recommender.evaluate(RecommenderEvaluator evaluator)
evaluate
|
double |
AbstractRecommender.evaluate(RecommenderEvaluator evaluator)
evaluate
|
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