Skip to content

Latest commit

 

History

History
168 lines (104 loc) · 4.44 KB

CHANGELOG.md

File metadata and controls

168 lines (104 loc) · 4.44 KB

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

[Breaking Changes]

[Added]

[Changed]

[Deprecated]

[Removed]

[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!

[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!

[0.9.8] - 2021-09-23

[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!

[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!

[0.9.6] - 2020-08-08

[Added]

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

[Contributors]

Thanks to @Wirg, @TrigonaMinima, and @dchichkov for recent contributions!

[0.9.5] - 2020-04-06

[Breaking Changes]

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

[0.9.4] - 2020-04-05

[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!

[0.9.3] - 2019-11-11

[Changed]

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

[0.9.2] - 2019-10-22

[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!

[0.9.1] - 2019-09-05

[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

[0.9.0] - 2019-08-15

Version 0.9.0 is a complete redesign of the Snorkel library. There's too much added, changed, and removed to list in this entry. For more information on the release, check out the project homepage. From here forward, we'll keep a detailed changelog.