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linkedin / luminol

Anomaly Detection and Correlation library
Apache License 2.0
1.18k stars 215 forks source link

Timestamp format #45

Open FeizNouri opened 6 years ago

FeizNouri commented 6 years ago

Hi i'm looking for toolkits for timeseries anomaly detection, i think this cloud help me but i didn't understand how to exactly work with luminol, how is the data format or the input format,can some one provide me with a simple example, for example i have a .csv file with values and date/time and i want to detect anomalies.. what format should i use for input?

vrr187 commented 6 years ago

I'am also with this problem. Could you figure it out how the format should be? :D I've just opened another issue about this problem. Ty.

BenLim88 commented 6 years ago

hi the datetime should be in UNIX format.

Akash1Dixit commented 5 years ago

Sample Query https://api.linkedin.com/v2/organizationalEntityFollowerStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:&timeIntervals.timeGranularityType=DAY&timeIntervals.timeRange.start={date.add(-30).format('epochTime')}000