ManeuverRecognition Package
ManeuverRecognition is a python package providing functions for the preprocessing of time series data for classification, the creation of predictive LSTM based models and the evaluation of multi class predictions.
Its functionalities are demonstrated and the documentation is given here: https://github.com/Schuster-j/maneuverRecognition
Metadata
Release files for maneuverRecognition 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| maneuverRecognition-0.0.6.tar.gz | 7.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| maneuverRecognition-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.3 kB
Release files / maneuverRecognition-0.0.6.tar.gz
| Download URL | maneuverRecognition-0.0.6.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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Release files / maneuverRecognition-0.0.6-py3-none-any.whl
| Download URL | maneuverRecognition-0.0.6-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3df93af8c76b342c7796eb7495d23c783a8cbc377c98b89aa595b816b3572eb3
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BLAKE2b-256 checksum How to use checksums |
72660a856439b32101d721eacff20f03aaab4edc96ad6dc7d31d586589974278
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|