vtreat Cross Validation
This article was first published on python – Win-Vector Blog , and kindly contributed to python-bloggers. (You can report issue about the content on this page here)
Want to share your content on python-bloggers? click here.
Want to share your content on python-bloggers? click here.
Nina Zumel finished new documentation on how vtreat‘s cross validation works, which I want to share here.
vtreat is a system that makes data preparation for machine learning a “one-liner” (available in R or available in Python). We have a set of starting off points here. These documents describe what vtreat does for you, you just find the one that matches your task and you should have a good start for solving data science problems in R or in Python.
The latest documentation is a bit about how vtreat works, and how to control some of the details of the work it is doing for you.
The new documentation is:
Please give one of the examples a try, and consider adding vtreat to your data science workflow.
To leave a comment for the author, please follow the link and comment on their blog: python – Win-Vector Blog .
Want to share your content on python-bloggers? click here.