The Alteryx Machine Learning cloud-based AutoML platform is built upon powerful machine learning libraries developed and maintained by Alteryx but also made available as open-source software. These libraries undergo continuous innovation allowing Alteryx Machine Learning to regularly provide additional value for the analyst. These libraries are described below, with links to further information of interest to developers of machine learning applications.
Featuretools - Featuretools is a framework to perform automated feature engineering. It excels at transforming temporal and relational datasets into feature matrices for machine learning. What is Featuretools? — Featuretools 1.6.0 documentation (alteryx.com)
EvalML - EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions. Home — EvalML 0.44.0 documentation (alteryx.com)
Compose - Compose is a machine learning tool for automated prediction engineering. It allows you to structure prediction problems and generate labels for supervised learning. What is Compose? — Compose 0.8.0 documentation (alteryx.com)
Woodwork - Woodwork is a library that helps with logical and semantic data typing of 2-dimensional tabular data structures. Home — Woodwork 0.13.0 documentation (alteryx.com)
