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X

X - Variable in class jml.classification.Classifier
Training data matrix (nFeature x nExample), each column is a feature vector.
X - Variable in class jml.feature.selection.FeatureSelection
Data matrix with each column being a data sample.
X - Static variable in class jml.optimization.AcceleratedProximalGradient
Current matrix variable that we want to optimize.
X - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Current matrix variable that we want to optimize.
X - Static variable in class jml.optimization.LBFGS
Current matrix variable that we want to optimize.
X - Static variable in class jml.optimization.LBFGSOnSimplex
Current matrix variable that we want to optimize.
X - Static variable in class jml.optimization.NonlinearConjugateGradient
Current matrix variable that we want to optimize.
X - Static variable in class jml.optimization.NonnegativePLBFGS
Current matrix variable that we want to optimize.
x - Static variable in class jml.optimization.PrimalDualInteriorPoint
Unknown variable vector.
X - Variable in class jml.regression.Regression
Training data matrix (n x p) with each row being a data example.
X - Variable in class jml.subspace.DimensionalityReduction
d x n data matrix.
x_nt - Static variable in class jml.optimization.PrimalDualInteriorPoint
 
X_pre - Static variable in class jml.optimization.AcceleratedProximalGradient
Last matrix variable that we want to optimize.
X_pre - Static variable in class jml.optimization.BoundConstrainedPLBFGS
Last matrix variable that we want to optimize.
X_pre - Static variable in class jml.optimization.LBFGS
Last matrix variable that we want to optimize.
X_pre - Static variable in class jml.optimization.LBFGSOnSimplex
Last matrix variable that we want to optimize.
X_pre - Static variable in class jml.optimization.NonnegativePLBFGS
Last matrix variable that we want to optimize.

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