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arima: compute var_coef once at the reported coefficients and defer it in the search The Hessian is now taken after the fit, in the reported coefficient space (untransformed AR, unrotated xreg), so it needs no gradtrans or rotation mapping and is computed once even when maInvert re-parameterises the MA part. Steps scale with parscale, so regressors whose standard error is far below 1e-3 no longer get a biased Hessian, and _coef_var applies its rank test to the diagonal-normalised matrix, so the cutoff responds to collinearity rather than to units. The Hessian is skipped when the objective is not finite at the optimum, which was the whole cost of the AutoRegressive benchmark regression. arima() gains var_coef=True. auto_arima_f passes False for every candidate and computes the covariance once for the winner through arima_var_coef, which holds the coefficients fixed and differentiates over the estimated ones. The result dict records the method so that function can rebuild the objective. The core.py change was unrelated to this PR and is reverted. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
jmoralez:arima-coef-var
23 hours ago
tests: loosen the R reference tolerances in the xreg rotation test Pin the coefficients to 3 decimals with a 1% tolerance and the log-likelihood and AIC to 1 decimal. The fit lands within 1e-4 of R across platforms, while a mismatch between the rotation and the undo sites moves the coefficients by 20% or more, so the looser bounds keep the guard without pinning optimizer noise. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
jmoralez:fix/xreg-svd-rotation
2 days ago
tests: drop the wrong issue-649 expectation and cover the xreg rotation The rotation only runs for a multi-column xreg with all-free coefficients, and AutoARIMA on the issue-649 series never builds one, so the first candidate still scores inf; the earlier value was not produced by this change. Add a test that the design passed to the OLS initialisation is xreg %*% S$v (orthogonal columns with the singular values as norms), which fails with the previous orientation, and a coefficient/log-likelihood check against stats::arima on a correlated two-regressor fit. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LSjJy9fwzM565cFPn5FUKL
jmoralez:fix/xreg-svd-rotation
2 days ago
build(deps): bump docker/setup-qemu-action in the ci-dependencies group Bumps the ci-dependencies group with 1 update: [docker/setup-qemu-action](https://github.com/docker/setup-qemu-action). Updates `docker/setup-qemu-action` from 4.3.0 to 4.4.0 - [Release notes](https://github.com/docker/setup-qemu-action/releases) - [Commits](https://github.com/docker/setup-qemu-action/compare/1f40c72289eff860ee54a304f1438e3cff362e0a...99012661954931238ded8c8b007157a8430204e1) --- updated-dependencies: - dependency-name: docker/setup-qemu-action dependency-version: 4.4.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: ci-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>
dependabot/github_actions/ci-dependencies-3b757a5d15
3 days ago
fix: preserve AutoTheta configuration
DresdenGman:fix/autotheta-preserve-configuration
3 days ago
feat: expose fixed theta parameter
DresdenGman:feature/theta-parameter
3 days ago
fix(mfles): preserve naive fallback scale
DresdenGman:fix/mfles-naive-original-scale
4 days ago
perf: reuse the ETS and Theta optimizer scratch buffers (#1232) Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
main
6 days ago
Latest Branches
CodSpeed Performance Gauge
-14%
arima: fix coef stderr
#1206
23 hours ago
df8e21d
jmoralez:arima-coef-var
CodSpeed Performance Gauge
0%
fix(arima): rotate multi-column xreg onto the singular directions as R does
#1234
2 days ago
7098986
jmoralez:fix/xreg-svd-rotation
CodSpeed Performance Gauge
0%
build(deps): bump docker/setup-qemu-action from 4.3.0 to 4.4.0 in the ci-dependencies group
#1242
3 days ago
e4c6b37
dependabot/github_actions/ci-dependencies-3b757a5d15
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