Skip to content

Releases: SeldonIO/tempo

v0.5.2

10 Nov 07:55
0878ae3
Compare
Choose a tag to compare

Full Changelog

Merged pull requests:

v0.5.1

27 Sep 16:26
37706a3
Compare
Choose a tag to compare

v0.5.1 (2021-09-27)

Closed issues:

  • test-issue #206
  • test issue #204
  • Create an mlflow example in tempo #187
  • Add GPT-2 example #160

Merged pull requests:

v0.5.0

10 Sep 17:58
93c056b
Compare
Choose a tag to compare

Full Changelog

Closed issues:

  • Create MLFlow Example showcasing Seldon Core MLServer V2 MLFlow server #188
  • Release Tempo v0.3.0 #182
  • Run tests across multiple Python versions #181
  • Rearchitect/refactor runtime options to provide consistent mappings #150

Merged pull requests:

v0.3.0

05 Aug 16:12
2ec8ebc
Compare
Choose a tag to compare

v0.3.0 (2021-08-05)

Full Changelog

Closed issues:

  • Quickstart Guide contains link leading to page not found #177
  • [TenorRT] Predict return bad request 400 #172
  • test issue #153
  • Create 2-min quickstart video #70
  • Adding functionality for state through State class #53

Merged pull requests:

v0.2.0

16 Jun 08:37
22a4944
Compare
Choose a tag to compare

v0.2.0 (2021-06-16)

Full Changelog

Closed issues:

  • Provide default types for function to allow pipeline/model func/class def without types #133
  • Link Broken in ReadMe #113
  • Add async / await support for sending requests #43
  • Publish to PyPI first version #42

Merged pull requests:

v0.1.0

06 May 17:38
1c02e3f
Compare
Choose a tag to compare

Initial Tempo Release.

v0.1.0 (2021-05-06)

Full Changelog

Closed issues:

  • Save class definition (instead of instance) #91
  • Early Access Docs #89
  • Move MLServer's Tempo inference runtime to this repo #73
  • Publish RTD docs #68
  • Override Docker image #67
  • Reinvestigate dill #65
  • Improve notebook reproducibility/ease of use #62
  • ability to specify runtime as argument to the .deploy method? #61
  • Deploy pipeline in KFServing #55
  • Remove transitive dependency when saving pipelines #54
  • How to replicate conda env for prepackaged Models #49
  • Create quickstart doc in README.md #41
  • Move notebooks to docs examples folder #40
  • Add outlier detection example #37
  • Add explainers #30
  • Initial code quality tools #29
  • Add documentation and update readme towards soft release #27
  • Add functionality for state using redis as backend #26
  • Handler additional artifacts and custom load methods #17
  • Default custom functions to "local runtime" #16
  • Re-organise test structure and fixtures #15
  • Deploy Pipeline in Docker and K8s #14
  • Remove tensorflow dependency #13
  • Add tox to test environment #12
  • Make deploy / undeploy idemptotent #11
  • Re-think the interaction between Protocol and Runtime #3
  • Uploading dynamic env to get loaded from MLServer #2

Merged pull requests: