Markov: heavy-tailed t target, per-target axis labels, and CSV export#667
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- Seventh target: a correlated Student-t (nu=2.5) with exact gradient; its polynomial tails fling gradient samplers into long excursions. - Per-target axis names (Target.axes) thread through the stat panel and every diagnostic, so the logistic posterior reads intercept/slope instead of x/y. - One-click CSV export of the full chain (index, coords, log-density). - Refreshed the catalog description.
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Third increment on the Markov sampling studio (previous work merged in #664 and #666). All changes stay inside
projects/markov-lab-q8f3/.What's new
Target.axes). The Bayesian logistic posterior reads intercept / slope across the whole stat panel and every diagnostic card, instead of the generic x / y.index, <axis0>, <axis1>, logdensity), so a run can be taken into a notebook. Guarded for sandboxed previews.Notes
node scripts/verify-project.mjs markov-lab-q8f3— scope + conformance + lint + build all green.mainafter Markov: sample-cloud overlay, About-the-math guide, and a Bayesian posterior target #666 merged, so this PR is only the incremental diff.🤖 Generated with Claude Code
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