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chore: regenerate navigator catalogue (drop stale NSS entry) #93

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Merged
Jammy2211 merged 1 commit into from
Jul 13, 2026
Merged

chore: regenerate navigator catalogue (drop stale NSS entry) #93

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2 changes: 1 addition & 1 deletion llms-full.txt
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Expand Up @@ -78,7 +78,7 @@ AUTO-GENERATED by PyAutoBuild — do not edit by hand; regenerate with generate.
- [Searches: Maximum Likelihood Estimation](scripts/searches/mle.py): This example illustrates how to use the maximum likelihood / optimization algorithms supported by **PyAutoFit**:
- Contents: Data, Model + Analysis, Search: Drawer, Search: LBFGS, Search Internal
- [Searches: Nested Sampling](scripts/searches/nest.py): This example illustrates how to use the nested sampling algorithms supported by **PyAutoFit**:
- Contents: Data, Model + Analysis, Search: DynestyStatic, Search: DynestyDynamic, Search: Nautilus, Search: NSS, Search Internal
- Contents: Data, Model + Analysis, Search: DynestyStatic, Search: DynestyDynamic, Search: Nautilus, Search Internal
- [Feature: Start Point](scripts/searches/start_point.py): For maximum likelihood estimator (MLE) and Markov Chain Monte Carlo (MCMC) non-linear searches, parameter space sampling is built around having a "location" in parameter space.
- Contents: Comparison to Priors, Example Source Code (`af.ex`), Start Here Notebook, Data, Start Point Priors, Start Point, Search + Analysis + Model-Fit, Result

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1 change: 0 additions & 1 deletion workspace_index.json
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Expand Up @@ -585,7 +585,6 @@
"Search: DynestyStatic",
"Search: DynestyDynamic",
"Search: Nautilus",
"Search: NSS",
"Search Internal"
],
"cross_refs": [],
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