Add tiny dataset generation to pipeline#289
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nwoodruff-co merged 3 commits intomainfrom Mar 12, 2026
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Produces frs_2023_24_tiny.h5 and enhanced_frs_2023_24_tiny.h5 by subsampling with probability proportional to weight and rescaling weights to preserve population totals.
Handle zero/NaN weights by falling back to uniform sampling, fixing the crash in impute_income which passes a zero-weight dataset.
Pandas rejects weighted sampling without replacement when weights are large. Using replace=True since the sample is used for training data.
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Summary
frs_2023_24_tiny.h5andenhanced_frs_2023_24_tiny.h5(1,000 households each) at the end of the dataset creation pipelinesubsample_datasetto sample with probability proportional to weight and rescale weights to preserve population totalsTest plan
UKSingleYearDatasethousehold_weightsums match the full datasetMicrosimulationon a tiny dataset to confirm it works end-to-end