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Latest version: v0.10.0

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0.10.0

[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

[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

[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

[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

[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

[Breaking Changes]

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

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