A question about the null value generation of time series

xinychen / transdim

Machine learning for transportation data imputation and prediction.

https://transdim.github.io

MIT License

1.19k stars 297 forks source link

A question about the null value generation of time series #13

Open lsea5 opened 3 years ago

lsea5 commented 3 years ago

hello,i am glad to ask a question. I am studying a set of data on the changes in the number of physical stores, mainly to detect the outliers of the number changes. Of course, the blank value itself is also an outlier. I want to ask, what algorithm should I use to fill in the blank values to find other types of outliers? Thank you.

xinychen commented 3 years ago

Hi, thank you for this good question! To be honest, the algorithms in our research do not take into account outliers. I do not know how to impute outliers as missing values. This answer would not be what you want, I am sorry for that! If you have any other questions, please also let me know! Thank you!

Best regards, Xinyu

lsea5 commented 3 years ago

Thank you for your answer. I will study your code and documentation.Maybe i will come back and ask again.Thank you for sharing your ideas and answers!!