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
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.
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.