[Q] Reducing Categorical Variables with Many Levels

This page summarizes the projects mentioned and recommended in the original post on /r/AskStatistics
R categorical-variables prepare-data machine-learning-algorithms nested-models

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  • vtreat

    vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

    • vtreat was created to solve this problem. IIRC it uses a form of contrast encoding.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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