enriquegit/multiviewstacking
A python implementation of the Multi-View Stacking algorithm
When you have different types of data (like images, audio, and text for a movie, or sensor readings from multiple devices) that all describe the same thing, this tool helps you combine them for better predictions. It takes your various data views and trains separate models for each, then uses those models' predictions to train a final, overall model. This is for data scientists or machine learning practitioners who need to make more accurate classifications from diverse data sources.
Available on PyPI.
Use this if you have a classification problem where the data naturally splits into distinct 'views' (e.g., different sensor types, image features, text descriptions) and you want to leverage all of them for a more robust prediction.
Not ideal if your data is already a single, uniform set of features or if you're not working on a classification task.
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Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
3
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