tsflex
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Flexible time series feature extraction & processing
Looking at the dependencies for tsflex 0.3.0 on conda-forge vs what is in the pyproject.toml file, it looks like the dependencies for the conda package are likely incorrect (in particular...
Fully tested integrations (i.e., all feature functions are tested): - [x] tsfresh - [x] tsfel - [x] seglearn - [x] catch22 - [x] antropy - [x] nolds - [x] [pyEntropy](https://github.com/nikdon/pyEntropy)...
Closes #98 - [x] write tests - [ ] profile code - [ ] heuristic for chunk size -> additional info: https://stackoverflow.com/questions/3822512/chunksize-parameter-in-multiprocessing-pool-map
`pyspi`: https://github.com/olivercliff/pyspi seems like a really interesting library for multivariate feature extraction!
Hi folks, Firstly, grateful to you for creating this library. It has crucial features missing in other libraries and I love it so far. I seek your help in figuring...
This is especially of interest for machines with many cores when dealing with a few *really* expensive feature functions.
I have a data set where each series has a number as a key and I would like to extract the data. I have adapted the code from the tutorial...
Hello Team, I am working on this dataset[https://www.kaggle.com/competitions/LANL-Earthquake-Prediction/data] and I am planning to create the features with the help of tsflex. I have one column which is acoustic_data which is...
### Objectives: #### Functionality - [ ] *convenient* way to extract features over the whole, unsegmented data (see also #67) - [ ] Discuss + decide together with @jvdd @mbignotti...