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Type: AFK
Parent
#58
What to build
Now that the SF path is the only live one, remove the deprecated dissertation 1D pipeline: the dissertation workbook
loader, the anchor-binned panel, the 1D-chainage ...
ready-for-agent
ere31
Type: HITL
Parent
#58
What to build
Run the SF CVAE retrain at a maintenance-useful horizon using the batched sampler and the full data layer (topological
graph + Traffic load + Climate exposure), ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Build the validation harness for SF PCI forecasts: held-out-Segment PCI error and calibration, plus a sensitivity run
restricted to measured-traffic Segments (to ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Wire the network-wide KSFO Climate exposure features (per-Seasonal-step distributional weather: totals, maxima, high
percentiles, and extreme-event counts such as ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Replace the per-sample Python loop in forecast sampling with sampling batched over the Monte Carlo dimension on GPU, so
the model can be sampled efficiently at longer ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Enable the stakeholder Traffic load counterfactual end-to-end: the Transformation grammar scales future-horizon traffic
(e.g. +20% next year), the PCI forecast responds, ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Wire the SF per-Segment panel and the PCI head into an SF dataset adapter that emits the EXISTING CVAE tensor contract
(history features, encoder conditioning, decoder ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Add the Traffic load covariate end-to-end: join measured corridor ADT to Segments on CNN (~9%), impute the rest by
within-Functional_Class euclidean KNN (k=8, log-space, ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Replace the skeleton identity adjacency with the real topological road-connectivity graph: snap Segment LINESTRING
endpoints (1 m tolerance) to recover intersection ...
ready-for-agent
Type: AFK
Parent
#58
What to build
Build a per-Segment training panel from the cleaned SF PCI history: one entry per CNN Segment with its PCI time series,
an observed-mask marking real survey dates, ...
ready-for-agent
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Learn how you can use GitHub Issues to plan and track your work.
Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub IssuesProTip! Restrict your search to the title by using the in:title qualifier.