amidst/toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
This tool helps data scientists and machine learning engineers build and deploy complex probabilistic models that learn from continuous streams of data. You provide raw, real-time data, and it outputs models that can predict events or identify patterns as they happen. It's designed for professionals working with large, constantly updating datasets who need to make predictions or understand uncertainty.
123 stars. No commits in the last 6 months.
Use this if you need to develop and deploy machine learning models that update continuously with new, massive datasets, especially for real-time prediction or anomaly detection.
Not ideal if you primarily work with small, static datasets or if your main focus is on traditional, non-probabilistic machine learning algorithms.
Stars
123
Forks
35
Language
Java
License
Apache-2.0
Category
Last pushed
Sep 21, 2023
Commits (30d)
0
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