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estimation(int, int, int[], int, double[], int)
- Method in class prea.recommender.memory.
ItemBased
Estimate a rating based on neighborhood data.
estimation(int, int, int[], int, double[], int)
- Method in class prea.recommender.memory.
UserBased
Estimate a rating based on neighborhood data.
evaluate(SparseMatrix)
- Method in class prea.recommender.baseline.
BaselineRecommender
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.
CustomRecommender
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.etc.
FastNPCA
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.etc.
NonlinearPMF
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.etc.
RankBased
Evaluate the rank-based CF algorithm with the given probabilites and loss function.
evaluate(SparseMatrix)
- Method in class prea.recommender.etc.
SlopeOne
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.matrix.
MatrixFactorizationRecommender
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.memory.
ItemBased
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in class prea.recommender.memory.
UserBased
Evaluate the designated algorithm with the given test data.
evaluate(SparseMatrix)
- Method in interface prea.recommender.
Recommender
Interface of evaluation method.
EvaluationMetrics
- Class in
prea.util
This is a unified class providing evaluation metrics, including comparison of predicted ratings and rank-based metrics, etc.
EvaluationMetrics(SparseMatrix, SparseMatrix, double, double)
- Constructor for class prea.util.
EvaluationMetrics
Standard constructor for EvaluationMetrics class.
evaluationMode
- Static variable in class prea.main.
Prea
Evaluation mode
exp(double)
- Method in class prea.data.structure.
DenseMatrix
Exponential of a given constant.
exp(double)
- Method in class prea.data.structure.
DenseVector
Exponential of a given constant.
exp(double)
- Method in class prea.data.structure.
SparseMatrix
Exponential of a given constant.
exp(double)
- Method in class prea.data.structure.
SparseVector
Exponential of a given constant.
expTransform(DenseVector, int)
- Method in class prea.recommender.etc.
NonlinearPMF
Transform a vector by log function, exponential function or linear function.
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