Hi Kevin, out of interest, how did you decide to use scikit-learn v0.23 in the book? I was surprised by that because it is a fairly old version. Lots of effort has gone into scikit-learn since then, so understanding why people choose (or are forced to?) use such old versions would be useful.
T On Wed, 11 Mar 2026 at 22:38, Kevin Markham <[email protected]> wrote: > 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] >> > _______________________________________________ > 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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