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3.2.0
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feat: opt-in pipeline fit optimisations, native bucketize, and sample…
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chore: Add agent.md and skills (#62)
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feat: add StringSequenceToEmbedding transformer and layer (#47)
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build(deps): bump torch from 2.8.0 to 2.13.0 (#63)
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3.0.0
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feat: Release/v3.0.0 (#51)
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2.40.1
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fix: standard scaling do not replace 0 variance with epsilon (#53)
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feat: pairwise sim and array reduce max (#44)
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docs: README restructured (#39)
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2.39.1
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feat: Add sampling mixin to expensive preprocessing fit functions (#37)
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fix: tf listwise segmented ops (#35)
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chore: Fix examples (#32)
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docs: Use proper Sphinx docs (#31)
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2.38.0
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feat: Adding segmented mean/min/max in TF and Pypark (#20)
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refactor: Add type hints everywhere and force type hints going forwar…
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2.37.0
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