nmfkc.net.ecv: Element-wise cross-validation for nmfkc.net (upper-triangle...

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Element-wise cross-validation for nmfkc.net (upper-triangle folds)

Description

k-fold CV with folds taken over the upper triangle of the symmetric Y (mirrored to the lower triangle) to prevent information leakage through symmetry. A single entry point covers all three symmetric NMF variants; type selects the fitting function:

• "tri" (default): nmfkc.net with C \ge 0

• "bi": nmfkc.net with C = I_Q

• "signed": nmfkc.net with signed C = C_{+} - C_{-}

Usage

nmfkc.net.ecv(Y, rank = 1:3, type = c("tri", "bi", "signed"), ...)

Arguments

Y	Symmetric N x N non-negative matrix.
rank	Integer vector of ranks to evaluate. Default 1:3.
type	Model type: "tri" (default), "bi", or "signed".
...	Passed to the underlying fitter; also accepts nfolds (default 5; div alias), seed (default 123).

Value

A list with objfunc, sigma, objfunc.fold, folds, Q.grid, type.

Lifecycle

This function is experimental. The interface may change in future versions; details are to be described in an upcoming paper.

See Also

nmfkc.net

nmfkc documentation built on July 14, 2026, 1:07 a.m.