https://github.com/composewell/streamly-statistics
Statistical measures for finite or infinite data streams
https://github.com/composewell/streamly-statistics
Last synced: 3 months ago
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Statistical measures for finite or infinite data streams
- Host: GitHub
- URL: https://github.com/composewell/streamly-statistics
- Owner: composewell
- License: apache-2.0
- Created: 2021-09-16T06:00:09.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-11-17T05:42:20.000Z (over 1 year ago)
- Last Synced: 2024-11-17T06:27:00.716Z (over 1 year ago)
- Language: Haskell
- Homepage:
- Size: 142 KB
- Stars: 6
- Watchers: 5
- Forks: 0
- Open Issues: 11
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# streamly-statistics
Statistical measures for finite or infinite data streams.
All operations use numerically stable floating point arithmetic. Measurements
can be performed over the entire input stream or on a sliding window of fixed
or variable size. Where possible, measures are computed online without
buffering the input stream.
Includes:
* Summary: length, sum, powerSum
* Location: minimum, maximum, rawMoments, means, exponential smoothing
* Spread: range, variance, deviations
* Shape: skewness, kurtosis
* Sample statistics, resampling
* Probablity distribution: frequency, mode, histograms
* Transforms: Fast fourier transform