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learningRate
- Variable in class prea.recommender.etc.
NonlinearPMF
Learning rate parameter.
learningRate
- Variable in class prea.recommender.matrix.
MatrixFactorizationRecommender
Learning rate parameter.
length()
- Method in class prea.data.structure.
DenseMatrix
Capacity of this matrix.
length()
- Method in class prea.data.structure.
DenseVector
Capacity of this vector
length()
- Method in class prea.data.structure.
SparseMatrix
Capacity of this matrix.
length()
- Method in class prea.data.structure.
SparseVector
Capacity of this vector.
Loss
- Class in
prea.util
This is a class implementing loss functions generally used in collaborative filtering algorithms.
Loss()
- Constructor for class prea.util.
Loss
lossType
- Variable in class prea.recommender.etc.
RankBased
The type of loss function.
Overview
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