Great information!
Thanks Jonas!


------ Original message------
From: Jonas Gröger
Date: Fri, Jul 7, 2017 4:12 PM
To: user@flink.apache.org;
Cc:
Subject:Re: Anomaly Detection with Flink-ML

Hello Jeremy,

it looks like what you are looking for is map (1 in, 1 out) / flatmap (1 in,
0-n out) for preprocessing on a single element basis as well as windows for
looking at related MetricDefinition elements calculating some result.

I suggest you look into Windows
(https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-release-1.3%2Fdev%2Fwindows.html&data=02%7C01%7CJeremy.D.Branham%40sprint.com%7C66a475a8840f40aee51808d4c57cbe82%7C4f8bc0acbd784bf5b55f1b31301d9adf%7C0%7C0%7C636350587286223292&sdata=NoSCU2%2F3hcpLpwUCHdlFYrzA2dNraUuSMWlRUJ3H9vI%3D&reserved=0)
and basic transformations
(https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fci.apache.org%2Fprojects%2Fflink%2Fflink-docs-release-1.3%2Fdev%2Fdatastream_api.html%23datastream-transformations&data=02%7C01%7CJeremy.D.Branham%40sprint.com%7C66a475a8840f40aee51808d4c57cbe82%7C4f8bc0acbd784bf5b55f1b31301d9adf%7C0%7C0%7C636350587286223292&sdata=KHnHRq9MSKTsRQJV4oUIAHJMHoxLlfaWWDCFqKsO95Y%3D&reserved=0).

Regards,
Jonas



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