acmtf_fun: Calculate function value of ACMTF

In CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models

Calculate function value of ACMTF

Description

Calculate function value of ACMTF

Usage

acmtf_fun(
  x,
  Z,
  alpha = 1,
  beta = rep(0.001, length(Z$object)),
  epsilon = 1e-08,
  manual = FALSE
)

Arguments

x	Vectorized parameters of the CMTF model.
Z	Z object as generated by setupCMTFdata().
alpha	Alpha value of the loss function as specified by Acar et al., 2014
beta	Beta value of the loss function as specified by Acar et al., 2014
epsilon	Epsilon value of the loss function as specified by Acar et al., 2014
manual	Manual calculation of each loss term (default FALSE)

Value

Scalar of the loss function value (when manual=FALSE), otherwise a list containing all loss terms

Examples

A = array(rnorm(108*2), c(108, 2))
B = array(rnorm(100*2), c(100, 2))
C = array(rnorm(10*2), c(10, 2))
D = array(rnorm(100*2), c(100,2))
E = array(rnorm(10*2), c(10,2))

df1 = reinflateTensor(A, B, C)
df2 = reinflateTensor(A, D, E)
datasets = list(df1, df2)
modes = list(c(1,2,3), c(1,4,5))
Z = setupCMTFdata(datasets, modes, normalize=FALSE)

init = initializeACMTF(Z, 2, output="vect")
f = acmtf_fun(init, Z)

CMTFtoolbox documentation built on Aug. 23, 2025, 1:11 a.m.