tslearn-team / tslearn-team/tslearn
TimeSeriesSVC prediction is very slow
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- Python
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Description
I have been working with the library and recently found out that TimeSeriesSVC().predict runs very slow and requires huge memory. Can you please let me know if there is a way around this issue?
I am trying to make 100K predictions of 1D time series (length of each time series is less than 100 values) and it requires more than 100 GB of memory and take multiple days to get the result.
Thank you
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported TimeSeriesSVC().predict workload: 100K one-dimensional time series with lengths under 100. Investigate the prediction path and measure memory and runtime; done means substantially reducing the reported memory use and multi-day runtime without changing prediction behavior.
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Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100