gtm_pmd {gtm}R Documentation

Calculates the posterior mode projection of data into the latent space

Description

The posterior mode projection of a point from the target space, t, is the mode of the corresponding posterior distribution induced in the latent space.

Usage

modes = gtm_pmd(T, X, FI, W)

Arguments

T data points representing the distribution in the target space. N-by-D
X data points forming a latent variable sample of the distribution in the latent space. K-by-L
FI activations of the basis functions when fed X; K-by-(M+1)
W a matrix of trained weights

Value

modes - the posterior modes in latent space. N-by-L

See Also

gtm_ppd1, gtm_ppd2, gtm_pmn,

Examples

  lv = gtm_demo()
  gtm_pmd(lv$T, lv$X, lv$FI, lv$W)


[Package gtm version 1.0 Index]