Add examples/online: matchlab vs Splink, batch cost and online lookups - #627
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Validate the Matchlab local API against the MoJ "Running Splink in Production" pipeline shape: dedupe each source, link, cluster once. - data.py reuses the companies benchmark generator for ~100k entities - model.py trains the shared Splink model once and reuses the artefact - pipeline_matchlab.py / pipeline_splink.py express the same job both ways - benchmark.py reports expression, batch time and memory, and single online-match latency across DuckDB and SQLite Finding: both pipelines recover the ground truth exactly. Matchlab's batch build costs ~4x the time at roughly equal memory, because it runs Splink per source pair, deduplicates, and materialises a queryable resolution. That materialisation makes a single online match a point select: ~5.3 ms in DuckDB versus ~0.013 ms in SQLite, ~400x faster. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012dPucpK8PqYNX5ChpCVc8U
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Validate the Matchlab local API against the MoJ "Running Splink in Production" pipeline shape.
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