0.3.1

This release is a big design change and refactor. It involves a significant change in the Configuration file structure, meaning this is a breaking upgrade. For those upgrading from 0.2.0, we ask to please delete their old pipelines dir and .zenml folders and start afresh with a zenml init.

If only working locally, this is as simple as:

cd zenml_enabled_repo
rm -rf pipelines/
rm -rf .zenml/

And then another init:

pip install --upgrade zenml
zenml init

New Features

• BatchInferencePipeline added for offline batch inference use-cases.
• Google Cloud Platform Bootstrapping Terraform script added for one-command bootstrapping of ZenML on GCP.
• DeployPipeline added to deploy a pipeline directly without having to create a TrainingPipeline.

Bug Fixes + Refactor

• Now you can run pipelines from within any subdirectory in the repo.
• Relaxed restriction on custom steps having sub-directories with their module.
• Relationship between Datasource and Data Step refined.
• Numerous small bugs and refinements to facilitate flexible API design.

Note: Future releases are also expected to be breaking. Until announced, please expect that upgrading ZenML versions may cause older-ZenML generated pipelines to behave unexpectedly.