🪨 Pycaret classification components + examples

[mansouralawi]

Description

Pycaret components for ML classification tasks, including the most commonly used Pycaret functions, 2 examples xircuits for binary classification and one example for multiclass classification

References

N/A

Pull Request Type

• Xircuits Core (Jupyterlab Related changes)
• Xircuits Canvas (Custom RD Related changes)
• Xircuits Component Library
• Testing Automation
• Documentation
• Others (Please Specify)

Type of Change

• New feature (non-breaking change which adds functionality)
• Bug fix (non-breaking change which fixes an issue)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Tests

1. compile and run AutoMLBasicBinaryClassification.xircuits
2. compile and run AutoMLClassificationBlendModels.xircuits
3. compile and run AutoMLBasicMulticlassClassification.xircuits
4. create new Xircuits using the available components

Tested on?

• Windows
• Linux Ubuntu
• Centos
• Mac
• Others (State here -> xxx )

Notes

N/A

[MFA-X-AI]

Thanks for the PR, awesome work!

1. In AutoMLBasicBinaryClassification, don't forget to rename the SaveModel to something else.
2. Move the xircuits examples to the examples folder (we might end up moving the component library examples back their component libraries later, but for now we keep everything in examples).
3. For the logging component, it's really cool how it integrates with AutoML. Users do need to be prompted on the link though. Just need to add a simple print("Access the dashboard at localhost:5000") and it's perfect.

Here's a gif for the output. Gonna put this in the front readme as well.

[mansouralawi]

Thank you for the review,

Fixes applied as suggested.

[MFA-X-AI]

Awesome. Thanks for the PR, merging to main. :D