gtm_pmn {gtm} | R Documentation |
The posterior mean projection of a point from the target space, t, is the mean of the corresponding posterior distribution induced in the latent space.
means = gtm_pmn(T, X, FI, W, b)
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 |
b |
the trained value for beta |
means
- the posterior means in latent space. N-by-L
lv = gtm_demo() gtm_pmn(lv$T, lv$X, lv$FI, lv$W, lv$beta)