Interactive ML Visualizations with Plotly
Project description
This project creates plots for machine learning similar to yellowbricks https://www.scikit-yb.org/en/latest/.
It uses plotly to generate interactive visualizations and employs a dataframe interface using polars. Just pass you dataframe and specify the columns: we use the following libraries: plotly, polars
Notebook widgets (AnyWidget)
Some plots (e.g. the crossfiltering pairplot) are implemented as an AnyWidget and require frontend ipywidgets support.
If you only see plain text like PairplotWidget(...) instead of an interactive plot:
- In VS Code, make sure the workspace is trusted and the extensions
ms-toolsai.jupyter+ms-toolsai.jupyter-renderersare enabled. - Check
Jupyter: Widget Script Sources(overly strict settings can prevent widget JS from loading).
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