Comments (1)
Hi, yes it is possible indeed. That's actually one of the functionalities that weren't properly addressed by similar packages when we started the development of TSFEL. To do so I recommend that the time series are stored in a data file and processed using the dataset_features_extractor
.
We are still updating the documentation of this functionality. In the meantime, you can read Section 2.2.1. Data ingestion and preprocessing of TSFEL publication which addresses that topic.
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Related Issues (20)
- Progress bar still show up with verbose = 0 HOT 9
- Get features for each line HOT 1
- Get different number of columns in extracted features HOT 1
- Rolling Feature Generation HOT 1
- Issue in having features for each observation HOT 1
- Last incomplete window HOT 1
- Request for Optional Batch ID Grouping Support HOT 4
- How to determine if the extracted features are correct HOT 1
- AttributeError: module 'scipy.stats' has no attribute 'median_absolute_deviation' HOT 5
- What is the difference between fsfel and tsfresh? HOT 4
- Some questions for the module HOT 1
- Scipy renamed some functions HOT 2
- Getting error "Input signal must have a length >= n_coeff" HOT 1
- new numpy version uses astype(bool) instead of astype(np.bool) HOT 1
- index 0 is out of bounds for axis 0 with size 0 HOT 4
- Error in TSFEL_HAR_Example.ipynb HOT 1
- Absolute Energy and Autocorrelation with equal value HOT 3
- Option to realign resulting dataframe's index to input HOT 2
- Add `TSFEL` to Conda Forge HOT 1
- `fs` and `window_size` HOT 4
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