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Related Issues (20)
- Even 512 GiB Memory not enough for extract_features on 7895800 rows × 28 columns ? HOT 5
- extract_features return no values and no error shown during the calculation HOT 1
- Unable to pip install tsfresh on a Mac with M1 chip HOT 15
- extract_features with kind_to_fc_parameters unable to produce the same features as extract_relevant_features HOT 2
- Formatting time series data with multiples labels on same ID to use tsfresh
- Using feature selector as part of sklearn pipeline HOT 1
- Feature extraction: Index error in numpy HOT 7
- calculate_relevance_table() does not work with y in form of numpy.ndarray HOT 1
- If I have a series data for only one id and I don't want extract feature and compress to one row? HOT 2
- Error shows when I copy paste same code from doc HOT 3
- FileNotFoundError when using "extract_features" function HOT 2
- Dependece upon `matrixprofile` HOT 7
- Too slow. GPU support please HOT 11
- Append New Data HOT 1
- multiprocessing not working with windows HOT 4
- To improve the usability of the package, remove matrix_profile. HOT 2
- On my previous closed issue HOT 2
- BrokenPipeError HOT 1
- IndexError: cannot do a non-empty take from an empty axes. HOT 5
- unmaintained dependency `matrixprofile` makes `tsfresh` uninstallable on python 3.10 HOT 12
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