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"An update on the latest scikit-learn features" - PyData Paris 2024

This repository contains the supporting material for the talks entitled:

"An update on the latest scikit-learn features"

It was presented at PyData Paris 2024 on September 26, 2024. The slides are available here.

You will find a collection of code associated to the demo on the slides.

Optmising operational decision

You can refer to the following example to see a use case using the new TunedThresholdClassifierCV to optimize the decision of a classifier based on a business metric.

Array-API: GPU dispatch

The following notebook show a demo leveraging the Array-API that dispatches some computation on a GPU.

Metadata Routing API

This notebook contains the code shown in the talk on the metadata routing API and some notes for the context.

References

Metadata routing

Use cases using sample_weight

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