Time series analysis
poorvi0311 opened this issue · 5 comments
🚀 Semilearn for time series
Motivation
The semilearn library has made it pretty concise to implement various semi supervised algorithm to CV and NLP data but I wanted to know if it could be implemented for time series data too.
Of course it can be used in time series datasets. The algorithms are independent to applications. You are welcome to use it in time series applications:)
How can the algorithms be modified for time series? I see a lot of functions in semilearn are very specific to cv or nlp. Any reference for such applications? Can semilearn as a package be used for time series analysis and not just algorithms?
How can the algorithms be modified for time series? I see a lot of functions in semilearn are very specific to cv or nlp. Any reference for such applications? Can semilearn as a package be used for time series analysis and not just algorithms?
I guess currently just algorithms. But It would be easy to adapt to time series since we already support sequential inputs.
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