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fix(polr): index fitted probabilities by model row position - #125

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bolt-polr-subset-opt-1742932569903060490
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fix(polr): index fitted probabilities by model row position#125
seonghobae wants to merge 8 commits into
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bolt-polr-subset-opt-1742932569903060490

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@seonghobae seonghobae commented Sep 6, 2026

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Current exact authority

  • protected base: master@b62bf9ac928988a4b988fc3efb0adfb88549fef2
  • exact head: 96453aadf56d7aa1e7d4d103f1a6d208c4825e94
  • lifecycle: Draft / correctness repair present / unsupported performance wording removed / fresh exact-head gates queued / independent approval pending
  • effective delta: R/llcont.R, tests/testthat/test_llcont_polr_indexing.R

Review → causal repair

The production change replaces fitted-probability selection based on as.numeric(names(y)) with positional indexing x$fitted.values[cbind(seq_along(y), y)]. Model row names are labels, not positional authority for x$fitted.values; non-numeric row names can therefore produce invalid/NA subscripts despite a valid fitted model.

The persistent MASS polr regression uses non-numeric case row names and requires llcont(fit) to return one contribution per fitted row and sum(llcont(fit)) to equal logLik(fit). This is the causal correctness contract. The branch also restored unrelated benchmark_hurdle_ifelse.R rather than consuming that separate lane.

Complexity / performance boundary

The false O(1) auxiliary-space statement was removed at predecessor c00c5b4.... Fresh normal descendant 96453aadf56d7aa1e7d4d103f1a6d208c4825e94 also removes the remaining unmeasured "for faster computation" wording and replaces it with the actual correctness invariant: fitted probabilities are indexed by model row position because row names are labels, not positional authority.

cbind(seq_along(y), y) is O(N) auxiliary indexing work even though it removes the predecessor's N×levels one-hot matrix. No buyer-visible performance claim is made. If performance is later claimed, compare protected and candidate implementations on representative/right-cleared ordinal-model data under the same R/MASS/runtime with stated observation/level cardinalities, repeated median/p95, allocation/GC evidence and profiling while preserving weighted likelihood and supported polr links.

Exact-head evidence

Fresh workflow generation exists for exact 96453aadf56d7aa1e7d4d103f1a6d208c4825e94: R-CMD-check 34017685536, Security Scan 34017685212, CodeQL PR 34017685208, and SAST Semgrep 34017685215 are queued at the latest read. The earlier R-CMD-check GREEN belonged to predecessor c00c5b4... and is not transferred. No qualifying independent current-head APPROVED review is established.

Keep Draft until one unchanged exact head has all applicable required/security/static-analysis gates terminal GREEN and a qualifying independent current-head approval exists. Do not self-approve, force-push, destructively rebase, transfer predecessor GREEN, remove unrelated evidence, or promote microbenchmark numbers into commercial latency claims.

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📝 Walkthrough

Walkthrough

llcont.polr가 관측별 로그우도를 직접 행렬 인덱싱으로 계산합니다. 기존 one-hot 행렬 생성을 제거했습니다. zero-Poisson 벤치마크 하네스를 삭제했습니다.

Changes

로그우도 계산 최적화 및 벤치마크 정리

Layer / File(s) Summary
직접 확률 행렬 인덱싱
R/llcont.R, benchmark_hurdle_ifelse.R
llcont.polrcbind(seq_along(y), y)로 관측별 적합 확률을 선택합니다. 기존 one-hot 행렬과 rowSums 계산을 제거했습니다. 삭제된 벤치마크 파일은 zero-Poisson 함수, 입력 생성, 실행 및 성능 출력 코드를 포함하지 않습니다.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: 🔵 Low · up to cfa50

This change makes polr likelihood extraction more memory-efficient through direct matrix indexing. The functional path is bounded, but the performance documentation is inaccurate and a regression test for nonnumeric row names is still needed to protect the intended behavior.

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Title check ✅ Passed 제목은 llcont.polr에서 적합 확률을 모델 행 위치로 직접 인덱싱하도록 변경한 주요 내용을 정확하고 간결하게 설명합니다.
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Actionable comments posted: 1

🧹 Nitpick comments (1)
R/llcont.R (1)

368-368: 🎯 Functional Correctness | 🔵 Trivial | ⚡ Quick win

비수치 row names 회귀 테스트를 추가하세요.

현재 tests/testthat/test_llcont.R:322-335는 기본 row names만 사용합니다. polr 모델을 적합하기 전에 row names를 case_1, case_2와 같이 설정하고, sum(llcont(model))as.numeric(logLik(model))와 일치하는지 확인하세요. 이 테스트는 llcont.polrnames(y)가 아닌 관측 순서로 fitted values를 선택하는 동작을 보호합니다.

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In `@R/llcont.R` at line 368, tests/testthat/test_llcont.R의 기존 polr 회귀 테스트에 비수치
row names(case_1, case_2 등)를 설정하는 경우를 추가하고, 해당 모델에 대해 sum(llcont(model))가
as.numeric(logLik(model))와 일치하는지 검증하세요. llcont.polr가 names(y)가 아니라 관측 순서로 fitted
values를 선택하는 동작을 보호해야 합니다.
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.

Inline comments:
In `@R/llcont.R`:
- Line 367: Update the space-complexity comment near the direct two-dimensional
matrix subsetting code to state O(N), reflecting the N × 2 index matrix and
length-N result; leave the implementation unchanged.

---

Nitpick comments:
In `@R/llcont.R`:
- Line 368: tests/testthat/test_llcont.R의 기존 polr 회귀 테스트에 비수치 row names(case_1,
case_2 등)를 설정하는 경우를 추가하고, 해당 모델에 대해 sum(llcont(model))가
as.numeric(logLik(model))와 일치하는지 검증하세요. llcont.polr가 names(y)가 아니라 관측 순서로 fitted
values를 선택하는 동작을 보호해야 합니다.

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Comment thread R/llcont.R Outdated
@seonghobae
seonghobae marked this pull request as draft September 6, 2026 04:09
@seonghobae seonghobae changed the title ⚡ Bolt: Optimize probability extraction in polr individual log-likelihood fix(polr): index fitted probabilities by model row position Sep 6, 2026

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@jules Exact-head follow-up on 082bc5d65d1e530654bae666f87f1f30553a5e32: preserve the new non-numeric-row-name regression and the restored benchmark_hurdle_ifelse.R. Make only the remaining source-quality repair in llcont.polr: the direct cbind(seq_along(y), y) selector avoids the N × levels one-hot matrix, but it is O(N) auxiliary index storage, not O(1) space. Remove/correct that generated complexity comment without changing the positional-indexing behavior. Do not re-delete the hurdle benchmark, do not restore the names-based row index, and do not claim the old >2x/~55% microbenchmark as buyer-path evidence. Ordinary descendant only; no force push/rebase/gate weakening.

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@jules Exact-head follow-up on 082bc5d65d1e530654bae666f87f1f30553a5e32: preserve the new non-numeric-row-name regression and the restored benchmark_hurdle_ifelse.R. Make only the remaining source-quality repair in llcont.polr: the direct cbind(seq_along(y), y) selector avoids the N × levels one-hot matrix, but it is O(N) auxiliary index storage, not O(1) space. Remove/correct that generated complexity comment without changing the positional-indexing behavior. Do not re-delete the hurdle benchmark, do not restore the names-based row index, and do not claim the old >2x/~55% microbenchmark as buyer-path evidence. Ordinary descendant only; no force push/rebase/gate weakening.

Acknowledged. I have updated the generated comment in R/llcont.R to remove the incorrect O(1) space claim, as it does allocate an O(N) index matrix. The benchmark_hurdle_ifelse.R and the row-name independent regression tests are preserved in the final branch state. I have committed this fix using the original branch bolt-polr-subset-opt-fix.

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@jules exact current head c00c5b4b5b805f12ddb82433b31a25a1c9438446 still has one source-wording repair that should be made without changing the positional-indexing behavior: llcont.polr() says direct 2-D subsetting is "for faster computation". The correctness repair is independently valid because fitted-probability row authority is model position, not names(y); the current branch does not have representative/right-cleared polr workload evidence establishing a buyer-path performance gain.

Please make one normal descendant that replaces only the unmeasured Bolt/performance wording with a semantic comment such as “Index fitted probabilities by model row position; row names are labels, not positional authority.” Preserve x$fitted.values[cbind(seq_along(y), y)], the non-numeric-row-name regression, weighted likelihood behavior, and unrelated hurdle/lavaan deltas. Do not add benchmark numbers or repository-wide doctrine. Then reacquire the exact-head R CMD/security/SAST/CodeQL generation; predecessor GREEN does not transfer.

@google-labs-jules

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@jules exact current head c00c5b4b5b805f12ddb82433b31a25a1c9438446 still has one source-wording repair that should be made without changing the positional-indexing behavior: llcont.polr() says direct 2-D subsetting is "for faster computation". The correctness repair is independently valid because fitted-probability row authority is model position, not names(y); the current branch does not have representative/right-cleared polr workload evidence establishing a buyer-path performance gain.

Please make one normal descendant that replaces only the unmeasured Bolt/performance wording with a semantic comment such as “Index fitted probabilities by model row position; row names are labels, not positional authority.” Preserve x$fitted.values[cbind(seq_along(y), y)], the non-numeric-row-name regression, weighted likelihood behavior, and unrelated hurdle/lavaan deltas. Do not add benchmark numbers or repository-wide doctrine. Then reacquire the exact-head R CMD/security/SAST/CodeQL generation; predecessor GREEN does not transfer.

Acknowledged. I have replaced the unmeasured performance wording with the requested semantic comment about row position indexing. The positional indexing logic seq_along(y) and the regression tests are preserved without changes. Committing this update as a normal descendant on the branch.

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