scikit-learn is an Open Source library for machine learning in Python.
External link for scikit-learn
💡Pipelines link to docs!
Delightful piece of Developer eXperience in scikit-learn: If you use the HTML-powered output for pipelines and column transformers, you can now click on the little ❓button and go to the docs directly! ✨ What other small details do you love in open source libraries you use? Also: We need less GenAI and more of this 😉 #python #sklearn #opensource #dx
🎬 Follow the official scikit-learn channel on YouTube. It has some great tutorials and links to talks. It also has a new release notes video for version 1.5, which was released last week. Big up to :probabl. and 👋 Vincent Warmerdam for releasing this amazing video. Feel free to offer your help as well to develop this Youtube channel. https://lnkd.in/eyv6vWbm
Video: Predictive survival analysis with scikit-learn, scikit-survival and lifelines This tutorial introduces how to train machine learning models for time-to-event prediction tasks (health care, predictive maintenance, marketing, insurance...) without introducing a bias from censored training (and evaluation) data. #pydataglobal PyData Global #python #machinelearning https://lnkd.in/e-wKVrrF
scikit-learn 1.5.0 is released! 🟢 1 major feature & 12 features 🔵 8 efficiency improvements & 17 enhancements 🟡 15 API changes (with deprecation) 🔴 24 fixes including one security fix! You can upgrade through the usual channels: pip install -U scikit-learn conda update -c conda-forge scikit-learn Among the new features, this new release introduces the TunedThresholdClassifierCV class that can adjust the decision threshold of any binary classifier to assign custom costs or gains to true/false positives/negatives. This is especially powerful to implement cost-sensitive learning, in particular when used in conjunction of per-individual side-metadata used in the cost function, thanks to our meta-data routing infrastructure. You can quickly walk through this new feature and other release highlights here: https://lnkd.in/eadqcRDh and the full changelog: https://lnkd.in/eHttjknr Along with the new release, we updated the website look and feel to improve navigation in the doc based on the pydata sphinx theme! It's now near-instant to filter out public API symbols by keyword on this page: https://lnkd.in/eK-xfxed scikit-learn contributors should be aware that we switched the default build tool from setuptools to meson: it's no longer needed to manually rebuild when changing Cython/C/C++ source files: the editable mode of meson-python detects changes automatically and rebuilds what's necessary when importing sklearn. See our updated doc on how to build scikit-learn from source if interested: https://lnkd.in/etW-8ubE Thank you very much to the 136 people who contributed to this release!
scikit-learn reposted this
We merged my most wanted scikit-learn feature: a pair of estimators to modify the decision threshold of a binary classifier. The TunedThresholdClassifierCV will tune the decision threshold given a metric using cross-validation. See more at: https://lnkd.in/eK42v7GG The FixedThresholdClassifier will accept an arbitrarily decision threshold. See more at https://lnkd.in/edm9CbWK We show a cost-sensitive use case here: https://lnkd.in/exTNSjcg. These feature will be helpful as already presented in some previous talks: https://lnkd.in/efe2Ub38. Thanks to all reviewers and contributors that worked on this feature.
scikit-learn reposted this
Dataiku delivers "Everyday AI" since 2013, helping the modern enterprise leverage data, machine learning and AI at scale. Florian Douetteau is the quiet force that led this wonderful company scale from 0 to 1 in just a decade, becoming a beacon of excellence in enterprise software. Florian is no stranger to scikit-learn as it powers a number of processes delivered by his company. Long live Dataiku! Appraisal Source: Florian Douetteau Want to make your own scikit-learn #appraisal and help us spread the love? Fill in this form: https://lnkd.in/eB2V6hWN :probabl. is recruiting, check our open positions: https://lnkd.in/eUJ6UWiM #OwnYourDataScience
scikit-learn reposted this
Just opened a PR into scikit-learn yesterday and I'm amazed by the speed and detail of feedback from 5 other contributors! That's what I call some open-source service! 🎉 Check out the PR here: https://lnkd.in/d9xeM9TC #opensource #machinelearning #datascience #scikitlearn #sklearn
Software is people
The scikit-learn Python library for machine learning is used by millions. In this new episode of #code4thought [EN] I had the chance to talk to some of the core contributors, Adrin J. , Gael Varoquaux, Guillaume Lemaitre and Lucy Liu, who takes us through what it means to run an open source project of this size. Listen to it on your podcast app, YouTube podcast or directly on https://lnkd.in/ds_pAprW #rse #opensource
HELP WANTED! Are you a scikit-learn x PyPy user? If so we are looking for help to investigate why our test suite use so much memory and causes our CI infrastructure to regularly fail as a result. This kind of investigative work is time consuming and none of the current scikit-learn maintainers have a particular interest in investing time and effort to more efficiently support PyPy at the moment. If you would like to help, here is a concrete example of the kind of investigation you would need to conduct to help us pinpoint PyPy-specific memory problems: https://lnkd.in/ef4jautM and here is an example of the kind of fix that helped reduce this memory problem in the past: https://lnkd.in/e_JzpuGU We think that similar investigations and fixes are needed to make scikit-learn and PyPy reasonably memory efficient together.
scikit-learn reposted this
Data scientist, writer, educator, machine learner, occasional podcaster, consultant.
scikit-learn is one of the most boring #machinelearning packages. Let me tell you why while standing by the banks of the Seine eating a croissant 🥐 👇🏻 Also join our mixer with our scikit-learn friends at :probabl. tonight! https://lu.ma/MLinParis