Comments (4)
Thank you :)
We are working on a port based on PyTS. PyTS has all classifiers (WEASEL, BOSS, SFA, ...). With some modifications, the PyTS code of WEASEL is very close in accuracy, but still slow, but we are about to close the gap.
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Great! Thanks
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Are you aware of any other fast TS classifiers (in python)? I'm looking to build something in real time and your inputs would be greatly appreciated.
from sfa.
Being fast in python is not so trivial. To be write fast python code, you will eventually have to write a cython-port. There is one project that is exactly trying to do so:
https://github.com/alan-turing-institute/sktime
There is also a deep-learning library for time series classification, in case that is an option for you:
https://github.com/hfawaz/dl-4-tsc
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Related Issues (20)
- Planning a release? HOT 11
- WEASEL at timeseriesclassification.com HOT 4
- NullPointerException in WEASEL.createBagOfPatterns HOT 2
- TimeSeriesLoader.java exception HOT 1
- Instructions on how to build the project? HOT 3
- WEASEL+MUSE: Datasets Format HOT 9
- SFATrie search by radius HOT 1
- getEuclideanDistance should depends on the state of timeseries HOT 4
- Memory related errors when running UCR tests HOT 1
- README Inconsistent HOT 3
- Meaning of output HOT 1
- Data for histograms HOT 1
- Use New Dataset HOT 1
- may you share python code for multivariate time series HOT 3
- Size of training data HOT 1
- can you classify categorical data time series ? HOT 1
- TEASER algorithm - Python version HOT 1
- Running WeaselMUSE on UCR dataset HOT 1
- MTSClassificationTest fails HOT 1
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