api.md

API Reference

Current

Table of the package models and corresponding function names used by these models.

Function \ Model	CCA	WHT	ICA	LDA	FA	PPCA	PCA	KPCA	MDS
fit	x	x	x	x	x	x	x	x	x
transform	x	x	x	x	x	x	x	x	x
predict				x
indim		x	x	x	x	x	x	x	x
outdim	x	x	x	x	x	x	x	x	x
mean	x	x	x	x	x	x	x	?
var					x	x	?	?	?
cov					x	?
cor	x
projection	x				x	x	x	x	x
reconstruct					x	x	x	x
loadings	?			?	x	x	?	?	?
eigvals					?	?	?	?	x
eigvecs					?	?	?	?	?
length
size

Note: ? refers to a possible implementation that is missing or called differently.

New

Function \ Model	WHT	CCA	LDA	MC-LDA	SS-LDA	ICA	FA	PPCA	PCA	KPCA	MDS
fit	x	x	x	x	x	x	x	x	x	x	x
transform	x	-	-	-	-	-	x	x	-	-	-
predict		+	x	+	+	+			+	+	+
indim	-			-	-	-	x	x	-	-	-
outdim	-	-		-	-	-	x	x	-	-	-
mean	x	x		x	x	x	x	x	x
var							x	x	x		?
cov							x	x
cor		+
projection	?	x		x	x		x	x	x	x	x
reconstruct							x	x	x	x
loadings							x	x	x		+
eigvals					+		?	?	x	x	x
eigvecs							?	?	x	+	+
length	+		+	+	+
size	+	+		+	+	+			x	+	+

• StatsBase.AbstractDataTransform
  • Whitening
    • Interface: fit, transform
    • New: length, mean, size
• StatsBase.RegressionModel
  • Interface: fit, predict
  • LinearDiscriminant
    • Functions: coef, dof, weights, evaluate, length
  • MulticlassLDA
    • Functions: size, mean, projection, length
  • SubspaceLDA
    • Functions: size, mean, projection, length, eigvals
  • CCA
    • Functions: size, mean, projection, predict, cor
  • Subtypes:
    • AbstractDimensionalityReduction
      • Interface: projection, var, reconstruct, loadings
      • Interface: projection == weights
    • Subtypes:
      • LinearDimensionalityReduction
        • Methods: ICA, PCA
      • NonlinearDimensionalityReduction
        • Methods: KPCA, MDS
          • Functions: modelmatrix(X),
      • LatentVariableModel or LatentVariableDimensionalityReduction
        • Methods: FA, PPCA
          • Functions: cov