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Add flag to projects that pull remotely and use in-memory model #1425

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merged 3 commits into from Sep 28, 2018

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ricwo
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@ricwo ricwo commented Sep 27, 2018

Proposed changes:

Status (please check what you already did):

  • made PR ready for code review
  • added some tests for the functionality
  • updated the documentation
  • updated the changelog

@ricwo ricwo requested a review from akelad September 27, 2018 14:03
@ricwo ricwo merged commit 2d166a5 into master Sep 28, 2018
@ricwo ricwo deleted the cached_model branch September 28, 2018 11:03
ricwo added a commit that referenced this pull request Sep 28, 2018
znat referenced this pull request in botfront/rasa-for-botfront Oct 16, 2018
* 0-13-7: (40 commits)
  preparing next version #92
  set one value
  #1442 travis did not report status -> rebuild
  #1442 make max_training_processes apply globally
  removed livechat.html
  removed livechat
  added custom language example
  prepared next release
  update pushing tags command in readme
  #1437 remove rogue newlines
  #1437 use multiprocessing star method spawn
  changelog
  #1437 check py2 first
  #1437 run tf training in separate thread on py3
  update on language support
  language support
  updated docs and community links
  prepare next release implementing #1425
  annotation too long
  svm supports gamma parameter
  ...
taytzehao pushed a commit to taytzehao/rasa that referenced this pull request Jul 14, 2023
Co-authored-by: Casey Lee <cplee@nektos.com>
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projects pulling from remote server use local model instead
3 participants