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.
Categories: Administrativia data science Practical Data Science Pragmatic Data Science Pragmatic Machine Learning
jmount
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.