Upgini
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
What is Upgini?
Upgini is an intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features from hundreds of public, community, and premium data sources to ML pipelines. It solves the problem of manual and time-consuming external data integration by providing a low-code, automated solution that identifies features which actually improve model accuracy.
Data scientists, ML engineers, and researchers working on supervised ML tasks with tabular data who need to enhance model performance by incorporating external data sources without extensive manual effort.
Developers choose Upgini because it automates the entire feature search and enrichment process, uses advanced techniques like LLMs for feature generation, validates accuracy uplift, and integrates seamlessly with existing Scikit-learn pipelines, saving significant time and boosting model accuracy effectively.
Overview
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Use Cases
Best For
- Enhancing supervised ML model accuracy with external tabular data
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