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Releases: zenml-io/zenml

0.1.4

08 Jan 13:37
@htahir1 htahir1
0.1.4
d91381e
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0.1.4

0.1.4

New Features

  • Ability to add a custom image to Dataflow ProcessingBackend.

Bug Fixes

  • Fixed requirements.txt and setup.py to enable local build.
  • Pip package should install without any requirement conflicts now.
  • Added custom docs made by Jupyter book in the docs/book folder.
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0.1.3

27 Dec 09:13
@hamzamaiot hamzamaiot
0.1.3
d4f0f3b
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0.1.3

New Features

  • Launch GCP preemptible VM instances to orchestrate pipelines with OrchestratorGCPBackend. See full example here.
  • Train using Google Cloud AI Platform with SingleGPUTrainingGCAIPBackend. See full example here
  • Use Dataflow for distributed preprocessing. See full example here.
  • Run pipelines locally with SQLite Metadata Store, local Artifact Store, and local Pipelines Directory.
  • Native Git integration: All steps are pinned with the Git SHA of the code when the pipelines it was used in is run. See details here.
  • All pipelines run are reproducible with a unique combination of the Metadata Store, Artifact Store and the Pipelines Directory.

Bug Fixes

  • Metadata Store and Artifact Store specified in pipelines disassociated from default .zenml_config file.
  • Fixed typo in default docker images constants.
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