0.13.1

ZenML 0.13.1 is here and it comes with several quality of life improvements:

• You can now specify the exact order in which your pipelines steps should be
  executed, e.g., via step_b.after(step_a)
• TensorBoard was moved to a separate integration so you can use it with Pytorch
  and other modeling frameworks
• You can now configure the Evidently integration to ignore specific columns in
  your datasets.

This release also contains a lot of documentation on how to deploy
custom code (like preprocessing and postprocessing code) with our KServe and
Seldon integrations.

What's Changed

• Fix flag info on recipes in docs by @wjayesh in #854
• Fix some materializer issues by @schustmi in #852
• Add ignore columns for evidently drift detection by @SangamSwadiK in #851
• TensorBoard Integration by @fa9r in #850
• Add option to specify task dependencies by @schustmi in #858
• Custom code readme and docs by @safoinme in #853

New Contributors

• @SangamSwadiK made their first contribution in #851

Full Changelog: 0.13.0...0.13.1