Improved mixed-data cross-validation efficiency by using a
guarded weighted least-squares Gram/Cholesky solve with QR/SVD fallback
for kernel and factor spline CV routes. The change covers
cv.ls, cv.gcv, and cv.aic for
additive, tensor, and GLP bases consistently across weighted and
unweighted mean-regression CV, while preserving the existing rank,
fallback, and objective contracts.
Restored the GLP model-matrix column oracle used to select generalized local-polynomial interactions while retaining compiled column-product construction, preserving GLP stability and shape compatibility.
Improved categorical-kernel mean fit and evaluation efficiency by
reusing the guarded weighted least-squares Gram/Cholesky primitive for
the non-quantile prediction ingredients when
model.return=FALSE, covering additive, tensor, and GLP
bases consistently across weighted and unweighted routes while
preserving fitted values, intervals, standard errors, hatvalues, rank,
and residual degrees of freedom.
Improved categorical-kernel mean-gradient efficiency by reusing the same guarded weighted least-squares Gram/Cholesky primitive for non-quantile derivative solves in training and evaluation routes. The change covers additive, tensor, and GLP bases consistently across weighted and unweighted routes while preserving derivative estimates and normal-approximation intervals to numerical roundoff.
Changed the public crs.formula() NOMAD
evaluation-budget default max.bb.eval to NULL,
allowing crs() to choose route-specific defaults after
route selection. Continuous-only frscvNOMAD searches now
default to max.bb.eval=10000, while kernel/categorical
krscvNOMAD searches default to
max.bb.eval=1000. These defaults were set on the basis of
simulation evidence and real-world applications; explicit user-supplied
values continue to override the route defaults.
Repaired public-wrapper consistency so crs()
forwards NOMAD search controls to frscvNOMAD consistently
with krscvNOMAD, including random.seed,
max.bb.eval, integer mesh/frame geometry controls, and
quantile level tau.
Made NOMAD multistart generation invariant to progress/display
settings in frscvNOMAD and krscvNOMAD, so
enabling or suppressing optimizer progress no longer changes the
starting-value geometry or fitted result.
Implemented independent native NOMAD restart sweeps for CRS cross-validation searches, preserving the public multistart contract while keeping restart diagnostics explicit.
Added public max.eval control for NOMAD point-lookup
budgets and changed continuous-only frscvNOMAD defaults so
MAX_EVAL and MAX_BB_EVAL can be controlled
independently. The default point-lookup cap for continuous-only CRS
NOMAD searches is now 1000, reducing duplicate NOMAD cache lookups while
preserving the established black-box evaluation budget.
Clarified NOMAD cache reporting in summaries. User-facing output now distinguishes true objective/function evaluations from repeated NOMAD point lookups avoided by the native cache.
Added elapsed-time recording and reporting for CRS cross-validation and summary paths using wall-clock elapsed time rather than user CPU time.
Modernized CRS plot methods toward the current np
plot interface. plot.crs() now displays fitted
mean/quantile functions by default, accepts NP-style controls such as
errors, band, B,
output, data_overlay, data_rug,
perspective, renderer, and view,
and supports transparent viridis base surfaces, base rotation, rgl
surface extras, data overlays, rugs, and fitted-surface
asymptotic/inid-bootstrap intervals. Legacy CRS plot switches such as
ci, mean, plot.rug, and
plot.errors.* now fail fast with NP-interface
guidance.
Hardened CRS plot argument validation and public plot contracts.
Unsupported controls now fail explicitly rather than being silently
ignored, categorical plot rendering and legends are aligned more closely
with np, and CRS gradient plots now support refit and
wild-bootstrap intervals where defined.
Repaired explicit derivative handling in
predict.crs() so caller-supplied derivative orders are
honored rather than bypassed by the fitted-object fast path.
Expanded the crs_nomad_api help page with
package-author guidance, direct C-callback and R-callback bridge
skeletons, and explanations of the most important native result
fields.
crs_nomad_solve) with C and R callback modes, explicit
option arrays, generated starts, multistart support, budget handling,
mesh-size array options, interrupt handling, and deterministic seed
behavior for downstream packages.snomadr()
(cache.hits, cache.size,
callback.evaluations, and total.evaluations)
so downstream callers can distinguish true R callback evaluations from
points satisfied by NOMAD’s cache without changing optimizer
behavior.