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Releases: snorkel-team/snorkel

v0.10.0

27 Feb 23:00
9b642a2
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[0.10.0] - 2023-02-27

[Breaking Changes]

  • PR #1729: Add support for Python 3.11 and remove support for all other minor versions

[Contributors]

Thanks to @bhancock8, @kamelCased, @MLobo1997, and @rsmith49 for contributions!

v0.9.9

29 Jul 04:06
48506ba
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[0.9.9] - 2022-07-28

[Added]

  • PR #1690: Bump numpy version for Mac M1 compat
  • PR #1696: Fix linting
  • PR #1694: Fix test loss
  • PR #1693: Update black version to fix build
  • PR #1671: Fix flaky test
  • PR #1688: Fix branch filtering for complex tests
  • PR #1686: Switch to CircleCI badge
  • PR #1685: Migrating travis -> circle

[Contributors]

Thanks to @rsmith49, @zexuan-zhou, @humzaiqbal, @fpoms, @crawlingcub, and @henryre for contributions!

v0.9.8

19 Nov 18:13
4a6d1a1
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[0.9.8] - 2021-11-18

[Added]

  • PR #1649: Add progress bar for label model training

[Changed]

  • PR #1645: Upgrade networkx requirement to support networkx>=2.5
  • PR #1663: Upgrade tensorboard requirement to support tensorboard>=2.0
  • PR #1652: Fix issue with logging display during label model training
  • PR #1677: Bump version upper bound of networkx to 2.7

[Contributors]

Thanks to @anerirana, @thatch, @sfilipi, @hardianlawi, @asottile and @marekmodry for contributions!

v0.9.7

09 Mar 21:51
1adccb6
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[0.9.7] - 2021-03-03

[Breaking Changes]

  • PR #1633, #1628: Update requirements for numpy (>=1.16.5,<1.20.0), pandas (>=1.0.0,<2.0.0), and scikit-learn (>=0.20.2,<0.25.0)

[Added]

  • PR #1628: Add unit test coverage for Python 3.8
  • PR #1616: Accept prec_init as array or list in LabelModel
  • PR #1602: Add get_label_instances to analysis module

[Contributors]

Thanks to @DavidKoleczek and @antonis19 for contributions!

v0.9.6

09 Aug 03:07
d1d1c9f
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[Added]

  • PR #1572: Allow specification of memoize_key in preprocessors
  • PR #1597: Improved error messages for MultitaskClassifier
  • PR #1592: Improved LabelModel documentation

v0.9.5

07 Apr 01:38
c8c20db
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[Breaking Changes]

  • PR #1565: Upgrade pytorch requirement to support torch>=1.2.0

v0.9.4

05 Apr 23:48
4c6bccb
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[Breaking Changes]

  • PR #1535: Refactor baseline model imports in snorkel.labeling.model
    • Now, from from snorkel.labeling import MajorityLabelVoter, LabelModel
      can be expressed from snorkel.labeling.model import MajorityLabelVoter, LabelModel

[Added]

  • PR #1533: Allow option to save optimizer state in Trainer
  • PR #1523: Add GPU option for spaCy preprocessor

[Changed]

  • PR #1540: Fix squeeze bug in to_int_label_array function
  • PR #1520: Fix error bucket documentation in snorkel.analysis.error_analysis

[Contributors]

Thanks to @rjurney, @ptrcklv for recent contributions!

v0.9.3

12 Nov 01:39
64c8741
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[Changed]

  • PR #1502: Faster symmetry breaking in LabelModel using Munkres algorithm

v0.9.2

23 Oct 04:59
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[Breaking Changes]

  • PR #1481: removed fault tolerant mode for labeling functions

[Added]

  • PR #1481: fault tolerant mode for appliers

[Changed]

  • PR #1450, 1467: ignore abstains in scoring, except coverage
  • PR #1463: serialize all attributes of label model
  • PR #1466: fix label model GPU training option
  • PR #1477, #1492: pin dependency versions

[Removed]

  • PR #1454: set_seed utility removed

[Contributors]

Thanks to @HiromuHota, @ferhatelmas, and @garaud for their recent contributions!

v0.9.1

06 Sep 05:02
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[Breaking Changes]

  • PR #1453: SlicingClassifier renamed to SliceAwareClassifier

[Added]

  • PR #1451: add heuristic for breaking symmetry in multiple label model optima case
  • PR #1442: integration test for MultitaskClassifier

[Changed]

  • PR #1444: fix label model weight clamping behavior
  • PR #1445: fix JSON log writer
  • PR #1447: fix correct/incorrect count bug in LFAnalysis
  • PR #1428, #1449: catch invalid label model inputs
  • PR #1441: make inputs to Scorer.score optional