CarsonScott/Online-Category-Learning
ML algorithm for real-time classification
This project helps operations engineers or data scientists automatically group incoming data into categories in real-time without needing predefined labels. It takes a continuous stream of observations or measurements and outputs classifications for each new piece of data as it arrives. This is ideal for someone who needs to understand patterns in fast-changing data environments and adapt to new categories on the fly.
No commits in the last 6 months.
Use this if you need to classify new, unlabeled data in a dynamic environment where data patterns evolve over time, and you can't manually label training data.
Not ideal if your data categories are fixed and well-defined, or if you require classifications based on historical, static datasets.
Stars
72
Forks
14
Language
Python
License
—
Category
Last pushed
Jul 21, 2017
Commits (30d)
0
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