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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.
Overview
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