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🎨 update benchmark documentation
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jvdd committed Feb 17, 2022
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Expand Up @@ -195,9 +195,14 @@ The table below positions _tsflex_ among other relative Python packages.

# Benchmark 📊

The visualization below compares `tsflex v0.2.2` against other eligible packages for the strided-rolling feature extraction use-case.<br>
As a reference, the data size when loaded in RAM was 96.4MB. The shaded areas represent the lower an upper quantile range (q=[0.1, 0.9]) of the runs.
The visualizations below compare `tsflex v0.2.2` against other eligible packages for the strided-rolling feature extraction use-case.
As a reference, the data size when loaded in RAM was 96.4MB.

The figure is constructed by using the [tsflex-benchmarking](https://github.com/predict-idlab/tsflex-benchmarking) repo, we further refer to this repository for more details.
In the first figure, the shaded areas represent the lower an upper quantile range (q=[0.1, 0.9]) of the runs.<br>
In the second figure, the performance of `tsflex` & other related packages is charted as *times more efficient than `tfresh`* (for both sequential and multiprocessing execution).

<iframe src="https://datapane.com/u/jonasvdd/reports/dkjVy5k/tsflex-benchmark-v2/embed/" width="100%" height="540px" style="border: none;" allowfullscreen>IFrame not supported</iframe><br>
These figures are constructed by using the [tsflex-benchmarking](https://github.com/predict-idlab/tsflex-benchmarking) repo, we refer to this repository for more details.

<iframe src="https://datapane.com/u/jvdd/reports/n3ZoyG7/tsflex-benchmark/embed/" width="100%" height="540px" style="border: none;">IFrame not supported</iframe>

<iframe src="https://datapane.com/u/jvdd/reports/M7byzb3/benchmark-vs-tsfresh/embed/" width="100%" height="540px" style="border: none;">IFrame not supported</iframe>

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