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## A

absoluteSum() - Method in class prea.data.structure.DenseVector
  Sum of absolute value of every element in the vector.
absoluteSum() - Method in class prea.data.structure.SparseVector
  Sum of absolute value of every element in the vector.
add(double) - Method in class prea.data.structure.DenseMatrix
  Scalar addition.
add(double) - Method in class prea.data.structure.DenseVector
  Scalar addition operator.
add(double) - Method in class prea.data.structure.SparseMatrix
  Scalar addition.
add(double) - Method in class prea.data.structure.SparseVector
  Scalar addition operator.
algorithmCode - Static variable in class prea.main.Prea
  The code for an algorithm which will run.
algorithmParameters - Static variable in class prea.main.Prea
  Parameter list for the algorithm to run.
assign - Variable in class prea.data.splitter.KfoldCrossValidation
ASYMM_LOSS - Static variable in class prea.recommender.etc.RankBased
  Asymmetric loss function
asymmetricLoss - Variable in class prea.util.EvaluationMetrics
  Asymmetric Loss
asymmetricLoss(double, double, double, double) - Static method in class prea.util.Loss
  Asymmetric loss matrix/function.
ATOX - Static variable in class prea.recommender.etc.NonlinearPMF
average() - Method in class prea.data.structure.DenseMatrix
  Average of every element.
average() - Method in class prea.data.structure.DenseVector
  Average of every element.
average() - Method in class prea.data.structure.SparseMatrix
  Average of every element.
average() - Method in class prea.data.structure.SparseVector
  Average of every element.
Average - Class in prea.recommender.baseline
  The class implementing a baseline, predicting by overall average of training set ratings.
Average(int, int, double, double) - Constructor for class prea.recommender.baseline.Average
  Construct a constant model with the given data.

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