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ExtremeEventForecasting

(Python) Extreme events model inspired from Uber article

Model inspired from the following article https://eng.uber.com/neural-networks/

Its aim is to used time series features to forecast extreme events

extremeeventforecasting's People

Contributors

gimpgael avatar

Stargazers

Alice Martinez avatar wentixiaogege avatar Learn2Learn avatar Alexandru Ginsca avatar Cathy Yan avatar Iskander Gaba avatar  avatar  avatar HIT-Owen avatar  avatar  avatar Xi Yang avatar Gabriel Jai avatar Sulaiman Malik avatar franz101 avatar Pranav Vartak avatar  avatar Merve Bozo avatar Berna Erden avatar

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James Cloos avatar  avatar Vusal Babashov, Applied Scientist avatar kunkun_1230 avatar

extremeeventforecasting's Issues

Purpose of functions like ts_mean, ts_spike etc

Hi gimpgael,
I'm working on an event forecasting project, and would like to clarify my doubt. According to my understanding of the Uber paper the LSTM autoencoder is used for feature extraction, then what's the point of having those functions which are also doing feature extraction ?

Thanks!

Running the code

Hi I wanted to try running this code but I dont see any main functions to generate the results. I am an absolute beginner and I was wondering if you could add those codes so that I can directly run this code on my system?

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