Takes one residual data frame (as returned by build_residual_sets())
and builds the 3-D sequence array Xseq (shape [N, K, p+1]) and
the pf tensor (shape [N, 1]) needed by the CNN1D model.
Usage
residual_to_tensors(
df_res,
scaler,
K = 64L,
knot_grid = seq(0, 1, length.out = K),
pf_left = -2,
pf_right = 7.6
)Arguments
- df_res
A residual data frame (one of
set1–set4).- scaler
A scaler object from
fit_minmax().- K
Number of knot points (default 64).
- knot_grid
Numeric vector of knot positions in [0, 1] (default
seq(0, 1, length.out = K)).- pf_left
Left boundary of the pF domain (default -2).
- pf_right
Right boundary of the pF domain (default 7.6).