Register the AutoGluon 1.6 presets as official TabArena methods - #466
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Adds the tabarena-2026-08-05 suite metadata for the released AutoGluon 1.6 extreme and noncommercial presets, run on TabArena-Full (816 tasks over 51 datasets) with a 4 hour per-task time limit, and registers both in the default tabarena_method_metadata_collection. The artifacts are processed and uploaded to the r2 cache (metadata, processed, raw, results), verified. compute is set manually to gpu: the runs were on one GPU per task, but the raw results record num_gpus=0, so the inferred value would be wrong. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01ELdutHiUqkvynzEP7EnPsi
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What
Adds the
tabarena-2026-08-05suite metadata (_tabarena_method_metadata_2026_08_05.py) for the released AutoGluon 1.6 presets and registers both intabarena_method_metadata_collection:AutoGluon_16_extreme)AutoGluon_16_noncommercial)Both are TabArena-Full runs (816 tasks over 51 datasets, all splits) of the shipped
extreme/noncommercialpresets with only the fittime_limitraised to 4 hours, matching the "AutoGluon 1.5 (extreme, 4h)" naming convention.Artifacts
Processed and uploaded to the r2 cache: each method has the full object set under
cache/artifacts/tabarena-2026-08-05/methods/<Method>/(metadata.yaml,processed.zip,processed/configs_hyperparameters.json,raw.zip,results/model_results.parquet), verified via bucket listing after the upload.verified=Trueis set in the metadata.Notes
compute="gpu"is a deliberate manual override: the runs used one GPU per task, but the raw results recordnum_gpus=0, so the inferred value (cpu) would be wrong. Processing ran with--ignore-metadata-mismatchfor exactly this field; everything else matched the raw-data inference.🤖 Generated with Claude Code
https://claude.ai/code/session_01ELdutHiUqkvynzEP7EnPsi