perf(llcont): avoid indicator-matrix allocation for polr - #124
perf(llcont): avoid indicator-matrix allocation for polr#124seonghobae wants to merge 17 commits into
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Replaces the O(N*K) matrix allocation, assignment, and element-wise multiplication with direct O(N) matrix subsetting `cbind(seq_along(y), y)`. This significantly improves execution time and memory footprint for large datasets, while safely handling NULL model weights.
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Changesllcont.polr 계산 최적화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to The optimized unweighted polr likelihood path and its result names lack regression coverage, so a behavioral regression could affect unweighted model results without being detected. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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In `@R/llcont.R`:
- Around line 369-372: Extend the with_test_packages("MASS", ...) test block
with an unweighted polr regression test that exercises the is.null(w) branch in
llcont.polr. Fit polr without weights, compare sum(llcont(fit)) with
logLik(fit), and verify names(llcont(fit)) matches rownames(fit$fitted.values).
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Replaces the O(N*K) matrix allocation, assignment, and element-wise multiplication with direct O(N) matrix subsetting `cbind(seq_along(y), y)`. This significantly improves execution time and memory footprint for large datasets, while safely handling NULL model weights.
Replaces the O(N*K) matrix allocation, assignment, and element-wise multiplication with direct O(N) matrix subsetting `cbind(seq_along(y), y)`. This significantly improves execution time and memory footprint for large datasets, while safely handling NULL model weights.
Replaces the O(N*K) matrix allocation, assignment, and element-wise multiplication with direct O(N) matrix subsetting `cbind(seq_along(y), y)`. This significantly improves execution time and memory footprint for large datasets, while safely handling NULL model weights.
Replaces the O(N*K) matrix allocation, assignment, and element-wise multiplication with direct O(N) matrix subsetting `cbind(seq_along(y), y)`. This significantly improves execution time and memory footprint for large datasets, while safely handling NULL model weights.
Current exact boundary
master@b62bf9ac928988a4b988fc3efb0adfb88549fef2b8e83d19f8866beece79a479de85385a4796b739Valid delta
llcont.polr()needs exactly one fitted-category probability per retained observation. The previous implementation materialized anN × Kindicator matrix, multiplied it byx$fitted.values, then reduced each row. The candidate selects the same cell directly withcbind(seq_along(y), as.numeric(y)), avoiding that indicator allocation. It also handles the realmodel.weights(m) == NULLcase instead of allowingNULL * vectorto collapse the contribution vector.This PR does not claim an 87% production speedup. No reproducible benchmark artifact with declared R/package versions, hardware, input distribution, warm-up and allocation evidence is retained for that number.
RED → GREEN / current repair lineage
A concurrent descendant had regressed the PR back to three changed files: it deleted the unrelated
benchmark_hurdle_ifelse.R, reintroduced a repository-wide.jules/bolt.mdrule for this local optimization, and dropped both the real-data regression andNEWSnote. That state was adopted and repaired rather than force-rebased.Current descendant:
benchmark_hurdle_ifelse.Rbyte-for-byte from protectedmaster;.jules/bolt.mdbyte-for-byte from protectedmasterso the local implementation choice does not become repository-wide doctrine;tests/testthat/test_llcont_polr_indexing.Rusing MASS's realhousingdata;logLik();logLik();requireNamespace("MASS", quietly = TRUE)because MASS is a Suggests dependency;NEWSentry for the user-visible statistical behavior.The effective protected-base diff is now limited to
NEWS,R/llcont.R, andtests/testthat/test_llcont_polr_indexing.R.Promotion acceptance
Fresh workflows on unchanged exact head
b8e83d19f8866beece79a479de85385a4796b739are non-terminal:33951518274— queued33951518059— queued33951518140— queued33951518047— queuedPredecessor evidence does not transfer. Keep Draft until this exact head has terminal package/check evidence and any new valid review findings are repaired. A performance claim requires a separately reproducible benchmark; correctness does not depend on that benchmark.
No force push, destructive rebase, self-approval, gate weakening, no-op retrigger, unrelated benchmark deletion, or generated repository doctrine is accepted.