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Two constraint bugs: - For the simplex constraint, had 1s everywhere instead of just at indices corresponding to the weights - Signs were backwards in the SOCP constraints
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Minor copy/formatting changes |
GabrielBianconi
previously approved these changes
Oct 27, 2025
amishler
previously approved these changes
Oct 27, 2025
de0a4af
…viraj/bandits-ui-mean-inference
amishler
approved these changes
Oct 28, 2025
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Mostly done by @amishler
Adds a chart that shows the mean and confidence sequences for arms in a bandit problem.
Refactor of existing charts:
useTimeGranularityParamthat allows us to avoid a lot of prop drilling in all the places we have time granularities that use URL state.There is an outstanding bug in the query + chart logic where some timeseries that should be computing cumulative statistics can be sparse if there is no new data in the time series for the window that we are querying over. @amishler has opened an issue for this I believe, and will fix next week.
Important
Add mean and feedback count charts for bandits UI, refactor existing charts, and introduce a hook for managing time granularity parameters.
FeedbackMeansTimeseriesandFeedbackCountsTimeseriescomponents for displaying mean and feedback count charts.FeedbackSamplesTimeseriesto separate mean and count data.useTimeGranularityParamhook to manage time granularity in URL state.chart.ts.FunctionExperimentation.tsxfor switching between variant weights, estimated performance, and feedback count.PieChart.tsxdescription and title for clarity.computeTrackAndStopOptimalProbabilitiesto handle track_and_stop experimentation.route.tsx.README.md.app.py.This description was created by
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