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Packages that use Regressor | |
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Facemorph.Stats |
Uses of Regressor in Facemorph.Stats |
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Classes in Facemorph.Stats that implement Regressor | |
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class |
BinaryLogisticRegression
Implementation of Binary Logistic Regression using iteratively-reweigthed least squares algorithm. |
class |
DifferenceOfAverages
Technically similar to a linear regressor, DifferenceOfAverages describes a function as a line connecting two points Distances along the line a scaled such that point 1 is considered to be the 0.0 point and point 2 the 1.0 point |
class |
ImagePLS
Implements an iterative version of PLS based on the method by Milidi and Reteria, "DPLS and PPLS: two PLS algorithms got large data sets." Computation Statisitics and Data Analysis vol.48 pp125-138 (2005) |
class |
ImageRegressor
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class |
NumericRegressor
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class |
OvercompleteSPLS
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class |
PCAReducer
Basically a wrapper for the PCA class of BPT |
class |
PLSReducer
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class |
sPLSSVD
From 'A Sparse PLS for Variable Selection when Integrating Omics data' Le Cao Rossouw Robet-Granie Besse |
class |
sPLSSVD_DWH
A version of Le Cao's algorithm modified to be sparse on the patches not on patch |
class |
WaveletPLS
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class |
WaveletRGBPLS
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class |
WeightedPLS
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class |
WeightedPLS2
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Fields in Facemorph.Stats declared as Regressor | |
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protected Regressor |
Model.regressor
A regression method to apply to the data. |
Methods in Facemorph.Stats with parameters of type Regressor | |
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static double |
CrossValidation.kFold(Regressor r,
BigMat independent,
double[] dependent,
int k)
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