Calculate gradient of ACMTF model.

Calculate gradient of ACMTF model.

Usage

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

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

Value

Vectorized gradient of the ACMTF 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 = initializeACMTF(Z, 2, output="vect")
g = acmtf_gradient(init, Z)