[This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
A big thank you to Dmytro Perepolkin for sharing a “Keep Calm and Use vtreat” poster!
Also, we have translated the Python vtreat steps from our recent “Cross-Methods are a Leak/Variance Trade-Off” article into R vtreat steps here.
This R-port demonstrates the new to R fit/prepare notation!
We want vtreat to be a platform agnostic (works in R, works in Python, works elsewhere) well documented standard methodology.
To this end: Nina and I have re-organized the basic vtreat use documentation as follows:
- Regression:
Rregression example, fit/prepare
interface,
Rregression example, design/prepare/experiment
interface,
Pythonregression
example. - Classification:
Rclassification example, fit/prepare
interface,
Rclassification example, design/prepare/experiment
interface,
Pythonclassification
example. - Unsupervised tasks:
Runsupervised example, fit/prepare
interface,
Runsupervised example, design/prepare/experiment
interface,
Pythonunsupervised
example. - Multinomial classification:
Rmultinomial classification
example, fit/prepare
interface,
Rmultinomial classification example, design/prepare/experiment
interface,
Pythonmultinomial classification
example.
To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.