Hi Thomas, Thank you so much for your suggestion! I’d love to include that (and many of the other newer features) in a future edition of the book, assuming there’s enough interest!
Best, Kevin On Mar 11, 2026 at 3:33:31 PM, Thomas Fan via scikit-learn < [email protected]> wrote: > Thank you for sharing! > > In the “Tuning the decision threshold” section, scikit-learn now has a > TunedThresholdClassifierCV! > It could be worthwhile to include in the second edition. 😆 > > 3.3. Tuning the decision threshold for class prediction > <https://scikit-learn.org/stable/modules/classification_threshold.html#tunedthresholdclassifiercv> > scikit-learn.org > <https://scikit-learn.org/stable/modules/classification_threshold.html#tunedthresholdclassifiercv> > [image: favicon.ico] > <https://scikit-learn.org/stable/modules/classification_threshold.html#tunedthresholdclassifiercv> > <https://scikit-learn.org/stable/modules/classification_threshold.html#tunedthresholdclassifiercv> > > Best, > Thomas > > On Mar 11, 2026, at 10:30 AM, Kevin Markham <[email protected]> wrote: > > > Hello scikit-learn community! > > Last week I published a new book called “Master Machine Learning with > scikit-learn”, and as my gift to the community, I’ve made it free to read > online (with no ads and no registration required): > > https://mlbook.dataschool.io > > I designed it to be a “practitioner’s handbook" for the effective use of > scikit-learn, covering many practical topics that I’ve not seen covered > elsewhere. I hope that it fills a useful role in the ecosystem of > scikit-learn educational resources, and perhaps even plays a tiny role in > ensuring the long-term success of the library. (I’ve already heard from two > teachers who would like to use the book in their classrooms, which is great > news!) > > If you're a current or former Core Contributor, I would be honored to send > you a free paperback copy as a token of my appreciation. Just reply to me > (not the list!) with your mailing address and I’ll ship you a copy from > Amazon. (It’s already available in a dozen countries, and I’m actively > working to expand distribution elsewhere.) > > Thanks! > Kevin > > P.S. In case you’re curious, I used Quarto to output the book website, > ebook (PDF and EPUB), and paperback from a single set of source files. > Quarto is amazing!!! > > Kevin Markham > Founder, Data School > ML book on Amazon: https://geni.us/MasterML > Data Science courses: https://courses.dataschool.io > > _______________________________________________ > scikit-learn mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3//lists/scikit-learn.python.org > Member address: [email protected] > > _______________________________________________ > scikit-learn mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3//lists/scikit-learn.python.org > Member address: [email protected] >
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