khundman / telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Home Page:https://arxiv.org/abs/1802.04431

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Use for Univariate Time Series

ivanokeeffe opened this issue · comments

Hi, before I dive into trying to use this implementation, I am wondering if you can use these methods for univariate time-series numerical data?

Yes you could

Hi, before I dive into trying to use this implementation, I am wondering if you can use these methods for univariate time-series numerical data?

hi! I am also trying to use this for univariate time-series numerical data, did you success? Would you mind sharing your configuration? Thanks

I do not have any channel data so how would I go on implementing for my own dataset as predicting requires channel id.