Hi Everyone, I came here after reading the paper “Unsupervised real-time anomaly detection for streaming data”. I am working on a dataset which has time and date, share GPS locations, speed, and acceleration with respect to device pitch, yaw, and roll value. So I am assuming I will need more than o…

As per my knowledge there is a single model against each metric. No such multivariate thing came across me so far.

You can pass in multivariate streams into Nupic, yes. What I’d do is go into the nupic folder you downloaded and go to the directory: /examples/opf/clients/hotgym/anomaly/one_gym. Within one_gym you’ll find several files, one of which is a run.py file. In this file within the ‘runIoThroughNupic’ fun…

Thank you so much for the details. I really appreciate it. Currently, I am trying to minimize the dataset inputs and to build a co-relation map using PCA and then use that co-relation map to pass in the Nupic. I will definitely get back on this. Thank you again.

Awesome. Very excited to explore HTM world.

That sounds very cool, and I hope the description makes it smoother once you get the co-relation map. I’d definitely be curious to see any results once you’re ready!

In short - your best bet is to design an encoder that encodes all of that information into one binary vector representation. Make sure your binary representation is large enough to encode each piece of the data to the desired granularity.

Talking toward future HTM theory, I think the problem of multiple fields will be better solved once temporal pooling is applied to temporal memory functions. Each field (or a smaller subset of them) would have its own TM layer, and then all the TM layers would feed into a single TP layer with long-…

@rhyolight , Unsupervised real-time anomaly detection for streaming data can we apply for the multiple fields like more than 100 . Is it possible ??

In theory, yes. But in practice in NuPIC, less than 10. You might want to look into encoding strategies for that much data to encode only the meaningful semantics.

He could run a small swarm even with that many variables theoretically right?

Can HTM be used on multivarient time series problems?

Engineering

rhyolight January 17, 2018, 7:57pm 3

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Anamoly detection with HTM

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Can HTM be used on multivarient time series problems?

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