Computer Vision Quickstart

[fa9r]

Describe changes

I implemented/fixed _ to achieve _.

• Adjusted the quickstart example to use tabular data (iris flower classification)
• Modified FacetsVisualizer to be able to directly take a dict of outputs / output artifacts as arguments such that we no longer need a separate step in the pipeline if we already have pandas artifacts in the pipeline; this means we can remove the skew_comparison() steps from both training and inference pipelines in the quickstart.
• Removed lot's of dead code: zenml.integration.sklearn.helpers, built-in pipeplines, built-in steps, unused step interfaces, BaseVisualizer subclasses.

Pre-requisites

Please ensure you have done the following:

• [ ] I have read the CONTRIBUTING.md document.
• [ ] If my change requires a change to docs, I have updated the documentation accordingly.
• [ ] If I have added an integration, I have updated the integrations table and the corresponding website section.
• [ ] I have added tests to cover my changes.

Types of changes

• [ ] Bug fix (non-breaking change which fixes an issue)
• [ ] New feature (non-breaking change which adds functionality)
• [ ] Breaking change (fix or feature that would cause existing functionality to change)
• [ ] Other (add details above)

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[fa9r]

Renamed branch since scope changed. New PR here: #843