fine_tuning: Fine tune the common tilts, one for each latent dimension
In linnykos/multiomicCCA: Tilted CCA

fine_tuning

R Documentation

Fine tune the common tilts, one for each latent dimension

Tune each latent dimension (representing a pair of canonical score vectors) for an appropriate tilt of the common component

fine_tuning(
  input_obj,
  max_iter = 5,
  fix_tilt_perc = NA,
  temp_path = NULL,
  tol = 1e-05,
  verbose = 0
)

`input_obj`	`multiSVD` class, after creation via `tiltedCCA()`
`max_iter`	maximum number of epochs (i.e., cycling through all latent dimensions)
`fix_tilt_perc`	scalar between 0 and 1, or `NA`, for setting all the tilts in each latent dimension to the scalar if not `NA`
`temp_path`	filepath for saving temporary progress to
`tol`	small positive number
`verbose`	non-negative integer