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I am excited to announce vtreat is now available for Python on PyPi, in addition for R on CRAN.
vtreat is:
A
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 problemsvtreatdefends against:Inf,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!
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