NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
np.ndarray
s on CPU @karlhigley (#1817)DatasetGen
usage in CPU environment @oliverholworthy (#1776)CategorifyTransform
inference operator to run on int16 types @oliverholworthy (#1798)Workflow.transform
to be run with a DataFrame type @oliverholworthy (#1777)cpu
in test_column_similarity @oliverholworthy (#1787)cpu
to None in dataset fixture @oliverholworthy (#1779)ColumnSchemas
@karlhigley (#1758)Full Changelog: https://github.com/NVIDIA-Merlin/NVTabular/compare/v1.8.1...v23.02.00
Patch release on top of v1.8.0
cibuildwheel
) @karlhigley (#1754)Full Changelog: https://github.com/NVIDIA-Merlin/NVTabular/compare/v1.8.0...v1.8.1
Full Changelog: https://github.com/NVIDIA-Merlin/NVTabular/compare/v1.7.0...v1.8.0
Full Changelog: https://github.com/NVIDIA-Merlin/NVTabular/compare/v1.5.0...v1.6.0
main
in the tox
test envs @karlhigley (#1671)tox
environments for testing, linting, and building docs @karlhigley (#1667)