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Releases: Techainer/mlchain-python

Release for Mlchain 0.3.1

25 Nov 04:11
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Merge pull request #57 from Techainer/gevent

Handle gevent monkey patch and update pipeline

Release MLchain 0.3.0

09 Jun 10:04
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Merge pull request #56 from Techainer/no_proto

Improve numpy version

Release MLchain 0.2.9

09 Jun 08:13
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Merge pull request #55 from Techainer/no_proto

Removee GRPC due to not using + Increase version of some requirements

Release MLchain 0.2.8

30 Mar 09:18
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Upgrade flask from 1.x to 2.1.0

mlchain-python 0.2.7

15 Mar 09:12
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What's Changed

Full Changelog: 0.2.6...0.2.7

mlchain-python 0.2.6

14 Mar 16:40
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Update lastest starlette

mlchain-python 0.2.5

11 Mar 03:36
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What's Changed

Full Changelog: 0.2.3...0.2.5

mlchain-python 0.2.3

27 Aug 06:03
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Hi. We are releasing a new version 0.2.3 of mlchain-python. This release don't bring in new feature but contain some fix for our production deployment need like #46

MLChain is far from perfect but we hope to improve it day by day with everyone's feedback and help. Thanks ;)

mlchain-python 0.2.2

18 Jun 05:28
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Long time no see. We are excited to release the new version 0.2.2 of mlchain-python

New features

  • Since Starlette is more stable than Quart, we remove Quart in favor of Starlette for async server, fixed #32 and fixed #33

Fixes and improvements

  • Increase coverage to 55% for #8
  • Better test process with full x86 CI matrix build on Github Actions, fixed #38
  • Fixed #10: Randomly missing exception log
  • Fixed #42: ImportError: cannot import name 'ResponseClosed' from 'httpx'

Also with better log, description, exception here and there for a better user experience.

MLChain is far from perfect but we hope to improve it day by day with everyone's feedback and help. Thanks ;)

mlchain-python 0.1.9

29 Dec 00:58
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In this release, we had improve our CLI a lot to ensure a more friendly and easy to use experience. We fixed a lot bug in this release. We also added Sentry integration since we love it and want you guys to get sentry logging for zero effort by using MLChain.

New features

  • Sentry integration (#28)

Fixes and improvements

MLChain is far from perfect but we hope to improve it day by day with everyone's feedback and help. Thanks ;)