v2.1.9

What's Changed

• [feat]: new shorthand mapping of "s/a" to "sa" by @mbaak in #34
• REL: bump up emm version to v2.1.9 by @mbaak in #35

Full Changelog: v2.1.8...v2.1.9

v2.1.8

What's Changed

• FIX: restrict sklearn version to <1.6, v1.6 is still incompatible with current latest version of xgboost.
• FIX: checkout numpy > 2 for spark by @mbaak in #31
• FIX: Refactor prepare_name_pairs_pd to pass arguments to create_positive_negative_samples by @chrispyl in #32

Full Changelog: v2.1.7...v2.1.8

v2.1.7

What's Changed

• ENH: Update create_training_name_pairs to pass additional arguments to prepare_name_pairs by @chrispyl in #29

Full Changelog: v2.1.6...v2.1.7

v2.1.6

What's Changed

• PKG: increase minimum Python version by @sbrugman in #24
• FIX: propagate dtype to idf_ for large corpuses in PandasNormalizedTfidfVectorizer by @chrispyl in #26

New Contributors

• @chrispyl made their first contribution in #26

Full Changelog: v2.1.5...v2.1.6

v2.1.5

What's Changed

• FIX: add preprocess_merge_abbr_v0 str cleaning option for bkw-compatibility by @mbaak in #21

Full Changelog: v2.1.4...v2.1.5

v2.1.4

What's Changed

• FIX: allow either nullable int or string for gt_entity_id column by @mbaak in #20

Full Changelog: v2.1.3...v2.1.4

v2.1.3

What's Changed

• FIX: keep gt_entity_id as int64 when no-match candidates (with nans) are added, by @mbaak in #19

Full Changelog: v2.1.2...v2.1.3

v2.1.2

What's Changed

• FIX: ensure sklearn and spark tfidf compatibility for sklearn >= 1.5 by @mbaak in #18

Full Changelog: v2.1.1...v2.1.2

v2.1.1

What's Changed

• ENH: added parse_blocking_func function that accepts strings as input by @mbaak in #14

Full Changelog: v2.1.0...v2.1.1

v2.1.0

What's Changed

• CHG: Switch from deprecated awesome_cossim_topn top sp_matmul_topn by @RUrlus in #10
• ENH: several small fixes and updates by @mbaak in #12
• REL: version 2.1.0 by @mbaak in #13

New Contributors

• @RUrlus made their first contribution in #10

Full Changelog: v2.0.1...v2.1.0