How to use Machine Learning to track thousands of different error codes?

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Hi all. I'm working with around 1,500 different types of error codes. I'd like to use ML to know when any of them individually goes way up. That's too many for Multi-Metric to handle.

Could anyone advise how to work with this?

Thanks!

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