Recent Releases of snorkel
snorkel - 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!
- Python
Published by humzaiqbal over 3 years ago
snorkel - 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!
- Python
Published by rsmith49 over 4 years ago
snorkel - 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 getlabelinstances to analysis module
[Contributors]
Thanks to @DavidKoleczek and @antonis19 for contributions!
- Python
Published by bhancock8 almost 5 years ago
snorkel - v0.9.4
[Breaking Changes]
- PR #1535: Refactor baseline model imports in snorkel.labeling.model
- Now, from
from snorkel.labeling import MajorityLabelVoter, LabelModelcan be expressedfrom snorkel.labeling.model import MajorityLabelVoter, LabelModel
- Now, from
[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_arrayfunction - PR #1520: Fix error bucket documentation in snorkel.analysis.error_analysis
[Contributors]
Thanks to @rjurney, @ptrcklv for recent contributions!
- Python
Published by vincentschen almost 6 years ago
snorkel - 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_seedutility removed
[Contributors]
Thanks to @HiromuHota, @ferhatelmas, and @garaud for their recent contributions!
- Python
Published by henryre over 6 years ago
snorkel - v0.9.1
[Breaking Changes]
- PR #1453:
SlicingClassifierrenamed toSliceAwareClassifier
[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.scoreoptional
- Python
Published by henryre over 6 years ago
snorkel - v0.9.0
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.
- Python
Published by henryre over 6 years ago
snorkel - Version 0.7 Beta
Major changes in v0.7:
- PyTorch classifiers
- Installation now via Conda and
pip - Now spaCy is the default parser (v1), with support for v2
- And many more fixes, additions, and new material!
- Python
Published by stephenbach over 7 years ago
snorkel - Version 0.6.3
Version 0.6.3 adds many bug fixes and improved default hyperparameters for the generative model.
- Python
Published by stephenbach almost 8 years ago