Runs `ssma_align()` on synthetic paired-domain problems and reports diagnostics that separate embedding quality from decoding quality.
Usage
assess_ssma(
sizes = c(50L, 100L),
d = 3L,
noise_sd = 0.05,
structure = c("ring", "grid", "random", "community"),
permute_fraction = 1,
n_anchors = 8L,
holdout_fraction = 0.25,
n_reps = 3L,
solvers = c("reduced", "operator"),
serial = c(FALSE, TRUE),
ssma_knn = 10L,
ssma_rank_per_domain = 64L,
ssma_lag_exclusion = 1L,
ncomp = NULL,
decode_k = 5L,
seed = 1L,
verbose = FALSE
)Arguments
- sizes
Integer vector of node counts to assess.
- d
Integer feature dimension for synthetic node features.
- noise_sd
Numeric noise standard deviation added to target features.
- structure
Synthetic geometry for base coordinates: `"ring"`, `"grid"`, `"random"`, or `"community"`.
- permute_fraction
Fraction of nodes to permute (in `(0,1]`).
- n_anchors
Number of synthetic anchor pairs to sample.
- holdout_fraction
Fraction of anchors reserved for holdout evaluation.
- n_reps
Integer number of replications per size.
- solvers
Character vector of SSMA solvers to assess: `"reduced"` and/or `"operator"`.
- serial
Logical vector indicating whether to run serial decontamination variants (`FALSE`, `TRUE`, or both).
- ssma_knn
Integer k used for SSMA within-domain graph construction.
- ssma_rank_per_domain
Integer rank cap for SSMA per-domain reduction.
- ssma_lag_exclusion
Integer lag exclusion for hard serial masking when `serial = TRUE`.
- ncomp
Optional integer embedding dimension. If `NULL`, uses `min(10, n - 2)`.
- decode_k
Integer `k` used for top-k retrieval metrics.
- seed
Integer base random seed.
- verbose
Logical; print per-run progress.