Jakub NowosadSpatial prediction meets machine learning with mlr3 ๐ก๐
This blog post by Marvin Ludwig also includes tips on autocorrelation, extrapolation & more.
sebffischerThe #mlr3 book has a new chapter on validation and internal tuning (e.g. early stopping): https://mlr3book.mlr-org.com/chapters/chapter15/predsets_valid_inttune.html #rstats
The chapter describes some newly introduced features in mlr3 that allow you to define validation splits for iterative learning procedures such as boosting or neural networks, even in complex learning pipelines. Furthermore, you can now easily combine early stopping with standard hyperparameter tuning.
Egor Kotov ๐๐โโ๏ธ๐๐๐#urbantransitions2024 8.30am, people setting up posters. I think mine is in the best spot. A snapshot with my workflow using #rstats #r5r, #targets, my own #rJavaEnv https://www.ekotov.pro/rJavaEnv/ , and #mlr3 is all I can share right now online, for details you have to be here in person)
Michel LangOpen Postdoc position in Mรผnster as part of the project "Predicting antimicrobial resistance with machine learning (ML) algorithms". Develop ML pipelines with #rstats and #mlr3. More info: https://jobs-sf.ukmuenster.de/job/UKM-Wissenschaftlicher-Mitarbeiter-PostDoc-%28gn%29-Data-Science-Statistik-Mathematik-Bioinformatik/1108954001/
Thomas HaaseDoes anyone know a good introduction into #machinelearning where #mlr3 for #R is used? Most lecture- or seminarmaterial I'm finding is using python for demonstration and tasks.
Hugh Graham
LukasReminder that you can now preorder the #mlr3 book on machine learning in #rstats at amazon (https://amzn.eu/d/934kjEF) or from the publisher with a 20% discount code AFL04 at http://www.routledge.com/9781032507545
It's pretty coolโข
Excited to announce that โApplied Machine Learning Using mlr3 in Rโ, will be published by Chapman and Hall on 19 Jan. Authored and edited by the mlr core team, our book provides a practical guide to #MachineLearning in #RStats using our #mlr3 software.
Applied Machine Learning Using mlr3 in R
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak perfor
Even if I don't win the #MOOD_H2020 hackathon, my takeaway is how useful
@rOpenSci #targets #rpackage https://docs.ropensci.org/targets/ is for reproducible workflows and how powerful #mlr3 https://mlr3.mlr-org.com framework is for spatial machine learning with spatiotemporal cross-validation
@rOpenSci #targets #rpackage https://docs.ropensci.org/targets/ is for reproducible workflows and how powerful #mlr3 https://mlr3.mlr-org.com framework is for spatial machine learning with spatiotemporal cross-validation
Dynamic Function-Oriented Make-Like Declarative Pipelines
Pipeline tools coordinate the pieces of computationally demanding analysis projects. The targets package is a Make-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU Make (2015, ISBN:978-9881443519) and drake (2018, <doi:10.21105/joss.00550>).
Hey #mlr3 #rstats fam, I have just posted a question about generating bootsrapped resamples for ensemble models - any help would be a massive help - thankyou!
https://stackoverflow.com/questions/75482882/bootstrap-resampling-for-stacked-ensemble-leaner-with-mlr3-in-r
https://stackoverflow.com/questions/75482882/bootstrap-resampling-for-stacked-ensemble-leaner-with-mlr3-in-r
