I am excited to announce
vtreat is now available for
Python on PyPi, in addition for
R on CRAN.
data.frameprocessor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
vtreatprepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems
NA, too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: “
vtreat: a data.frame Processor for Predictive Modeling”, Zumel, Mount, 2016.
To help you get up to speed we have a number of short worked examples of supervised machine learning using
vtreat here. For instance here we work the KDD2009 example.
Let’s hear it for cross-language data science!
Categories: Administrativia Opinion
Data Scientist and trainer at Win Vector LLC. One of the authors of Practical Data Science with R.