Uses of Interface
Facemorph.Stats.Regressor

Packages that use Regressor

Facemorph.Stats

Uses of Regressor in Facemorph.Stats

Classes in Facemorph.Stats that implement Regressor

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
class	NumericRegressor
class	OvercompleteSPLS
class	PCAReducer Basically a wrapper for the PCA class of BPT
class	PLSReducer
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
class	WaveletRGBPLS
class	WeightedPLS
class	WeightedPLS2

Fields in Facemorph.Stats declared as Regressor

protected Regressor

Model.regressor A regression method to apply to the data.

Methods in Facemorph.Stats with parameters of type Regressor

static double

CrossValidation.kFold(Regressor r, BigMat independent, double[] dependent, int k)