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26 results for “PerformantData”

  1. 📢 Exciting news for Scala enthusiasts in the Bay Area! 📢

    After missing the in-person connections with fellow Scala developers, I'm thrilled to announce the return of Scala meetups in our community.

    We're launching two monthly events to bring our Scala family back together:

    🌉 San Francisco: Monthly meetup in the heart of the city
    🌳 Palo Alto: Monthly gathering in Silicon Valley

    Whether you're a seasoned Scala pro or just getting started, these meetups are perfect for learning, sharing, and networking with like-minded developers.

    🗓️ Want to stay in the loop? For event details and to subscribe to our calendar, visit:

    https://lu.ma/scala

    Never miss a meetup again! Think you will like our new format!

    I can't wait to see familiar faces and welcome new ones. Let's reignite our Scala community together!

    🙏 Please reshare this post with your network to help spread the word. The more, the merrier!

    #Scala #Meetup #ScalaMeetup #BayAreaTech #SoftwareDevelopment #CommunityEvent #SanFrancisco #SiliconValley #PaloAlto #FunctionalProgramming

    cc @scala_lang @scala_space @PerformantData @SethTisue

  2. 📢 Exciting news for Scala enthusiasts in the Bay Area! 📢

    After missing the in-person connections with fellow Scala developers, I'm thrilled to announce the return of Scala meetups in our community.

    We're launching two monthly events to bring our Scala family back together:

    🌉 San Francisco: Monthly meetup in the heart of the city
    🌳 Palo Alto: Monthly gathering in Silicon Valley

    Whether you're a seasoned Scala pro or just getting started, these meetups are perfect for learning, sharing, and networking with like-minded developers.

    🗓️ Want to stay in the loop? For event details and to subscribe to our calendar, visit:

    https://lu.ma/scala

    Never miss a meetup again! Think you will like our new format!

    I can't wait to see familiar faces and welcome new ones. Let's reignite our Scala community together!

    🙏 Please reshare this post with your network to help spread the word. The more, the merrier!

    #Scala #Meetup #ScalaMeetup #BayAreaTech #SoftwareDevelopment #CommunityEvent #SanFrancisco #SiliconValley #PaloAlto #FunctionalProgramming

    cc @scala_lang @scala_space @PerformantData @SethTisue

  3. 📢 Exciting news for Scala enthusiasts in the Bay Area! 📢

    After missing the in-person connections with fellow Scala developers, I'm thrilled to announce the return of Scala meetups in our community.

    We're launching two monthly events to bring our Scala family back together:

    🌉 San Francisco: Monthly meetup in the heart of the city
    🌳 Palo Alto: Monthly gathering in Silicon Valley

    Whether you're a seasoned Scala pro or just getting started, these meetups are perfect for learning, sharing, and networking with like-minded developers.

    🗓️ Want to stay in the loop? For event details and to subscribe to our calendar, visit:

    https://lu.ma/scala

    Never miss a meetup again! Think you will like our new format!

    I can't wait to see familiar faces and welcome new ones. Let's reignite our Scala community together!

    🙏 Please reshare this post with your network to help spread the word. The more, the merrier!

    #Scala #Meetup #ScalaMeetup #BayAreaTech #SoftwareDevelopment #CommunityEvent #SanFrancisco #SiliconValley #PaloAlto #FunctionalProgramming

    cc @scala_lang @scala_space @PerformantData @SethTisue

  4. 📢 Exciting news for Scala enthusiasts in the Bay Area! 📢

    After missing the in-person connections with fellow Scala developers, I'm thrilled to announce the return of Scala meetups in our community.

    We're launching two monthly events to bring our Scala family back together:

    🌉 San Francisco: Monthly meetup in the heart of the city
    🌳 Palo Alto: Monthly gathering in Silicon Valley

    Whether you're a seasoned Scala pro or just getting started, these meetups are perfect for learning, sharing, and networking with like-minded developers.

    🗓️ Want to stay in the loop? For event details and to subscribe to our calendar, visit:

    https://lu.ma/scala

    Never miss a meetup again! Think you will like our new format!

    I can't wait to see familiar faces and welcome new ones. Let's reignite our Scala community together!

    🙏 Please reshare this post with your network to help spread the word. The more, the merrier!

    #Scala #Meetup #ScalaMeetup #BayAreaTech #SoftwareDevelopment #CommunityEvent #SanFrancisco #SiliconValley #PaloAlto #FunctionalProgramming

    cc @scala_lang @scala_space @PerformantData @SethTisue

  5. Mike @PerformantData ·

    Ungh. Time to swap out containerd for , I guess, and iptables for , in my attempt at on-prem . I could maybe resolve all the errors I'm seeing from kubeadm, but is it worth it? Seems like CRI-O is a leaner solution and reportedly less buggy.


  6. Ungh. Time to swap out containerd for #CRI_O, I guess, and iptables for #IPVS, in my attempt at on-prem #Kubernetes. I could maybe resolve all the errors I'm seeing from kubeadm, but is it worth it? Seems like CRI-O is a leaner solution and reportedly less buggy.

    #HomeLab
    #SelfHosting

  7. Ungh. Time to swap out containerd for #CRI_O, I guess, and iptables for #IPVS, in my attempt at on-prem #Kubernetes. I could maybe resolve all the errors I'm seeing from kubeadm, but is it worth it? Seems like CRI-O is a leaner solution and reportedly less buggy.

    #HomeLab
    #SelfHosting

  8. Ungh. Time to swap out containerd for #CRI_O, I guess, and iptables for #IPVS, in my attempt at on-prem #Kubernetes. I could maybe resolve all the errors I'm seeing from kubeadm, but is it worth it? Seems like CRI-O is a leaner solution and reportedly less buggy.

    #HomeLab
    #SelfHosting

  9. Mike @PerformantData ·

    Anyone have experience running an server on ?

    I'm not finding anything recent: a four-year-old Docker image, a six-year-old blog post,…

  10. Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).

    See ?NCV in latest {mgcv} for examples (cran.r-universe.dev/mgcv/doc/m)

    I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.

    #rstats #ml #tidymodels #mgcvchat @MikeMahoney218 @gavinsimpson @ericJpedersen @millerdl

  11. Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).

    See ?NCV in latest {mgcv} for examples (cran.r-universe.dev/mgcv/doc/m)

    I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.

    #rstats #ml #tidymodels #mgcvchat @MikeMahoney218 @gavinsimpson @ericJpedersen @millerdl

  12. Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).

    See ?NCV in latest {mgcv} for examples (cran.r-universe.dev/mgcv/doc/m)

    I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.

    #rstats #ml #tidymodels #mgcvchat @MikeMahoney218 @gavinsimpson @ericJpedersen @millerdl

  13. Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).

    See ?NCV in latest {mgcv} for examples (cran.r-universe.dev/mgcv/doc/m)

    I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.

    #rstats #ml #tidymodels #mgcvchat @MikeMahoney218 @gavinsimpson @ericJpedersen @millerdl

  14. Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones).

    See ?NCV in latest {mgcv} for examples (cran.r-universe.dev/mgcv/doc/m)

    I might write a helper to convert {rsample}/{spatialsample} objects into mgcv's funny CV indexing structure.

    #rstats #ml #tidymodels #mgcvchat @MikeMahoney218 @gavinsimpson @ericJpedersen @millerdl