v0.10.0

[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

[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

[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

[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

[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

[Breaking Changes]

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

v0.9.4

[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

[Changed]

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

v0.9.2

[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

[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