CalibratedDecisions.

Demo · Data & extraction

DuckDB classifier

Classify records in tables and local data files.

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Hamilton Ulmer @hamiltonulmer

I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table

about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier

game-changing for data analysis!

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How builders describe it

DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
Hamilton Ulmer’s DuckDB extension: Jev classifies the rows of any table or file.
A DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, reported at about 10 seconds for 1,000 rows and framed as more ergonomic than a bespoke classifier.

The decision Jev makes

Keep or drop a row, assign a label, or select one field value at a time.

Where it fits

Putting Jev next to the data: filtering rows with plain-English conditions, classifying records, labelling datasets and pulling structure out of text one small decision at a time. All 98 data & extraction projects →

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