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remove kale docs (project is abandoned) (#3554)
Signed-off-by: Mathew Wicks <thesuperzapper@users.noreply.github.com>
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title = "Kale"
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description = "Kale enables data scientists to orchestrate end-to-end machine learning (ML) workflows."
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Kale simplifies the use of Kubeflow, giving data scientists the tool they need to orchestrate end-to-end ML workflows. Kale provides a UI in the form of a JupyterLab extension. You can annotate cells in Jupyter Notebooks to define: pipeline steps, hyperparameter tuning, GPU usage, and metrics tracking. Click a button to create pipeline components and KFP DSL, resolve dependencies, inject data objects into each step, deploy the data science pipeline, and serve the best model.
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See <a href="https://codelabs.arrikto.com/codelabs/minikf-kale-katib-kfserving/#0" target="_blank">From Notebook to Kubeflow Pipelines to KFServing</a> for a tutorial overview of Kale.
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