alteryx/compose
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
This tool helps data scientists and machine learning engineers quickly define and prepare data for supervised learning models. It takes your raw historical data, like customer transactions, and automatically generates labeled training examples based on a specific outcome you want to predict. The output is a dataset ready for further feature engineering and model training.
510 stars. No commits in the last 6 months.
Use this if you need to rapidly create structured datasets with labels for building predictive models from your historical business data.
Not ideal if you are looking for a tool that handles the entire machine learning pipeline from end-to-end, including model training and evaluation.
Stars
510
Forks
49
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 31, 2025
Commits (30d)
0
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