cmtf_gradient: Calculate gradient of CMTF model.

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

Calculate gradient of CMTF model.

Description

Calculate gradient of CMTF model.

Usage

cmtf_gradient(x, Z)

Arguments

x	Vectorized parameters of the CMTF model.
Z	Z object as generated by setupCMTFdata().

Value

Vectorized gradient of the CMTF model.

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 = initializeCMTF(Z, 2, output="vect")
g = cmtf_gradient(init, Z)

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