Livenodes Scikit Wrapper
The wrapper provides a simple interface to create and run Livenodes graphs as a Scikit-Learn Estimator. This allows the use of LN graphs in all Standard Scikit-learn workflows, starting with cross-validations, grid search or even pipelines.
Installation:
pip install ln_scikit
Livenodes & LN-Studio
Livenodes are small units of computation for digital signal processing in python. They are connected multiple synced channels to create complex graphs for real-time applications. Each node may provide a GUI or Graph for live interaction and visualization.
//LN-Studio is a GUI Application to create, run and debug these graphs based on QT5.
Any contribution is welcome! These projects take more time, than I can muster, so feel free to create issues for everything that you think might work better and feel free to create a MR for them as well!
Have fun and good coding! Yale
1 maintainer
Metadata
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Release files for LN-Scikit 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ln_scikit-1.0.0.tar.gz | 51.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| LN_Scikit-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 81.8 kB
Release files / ln_scikit-1.0.0.tar.gz
| Download URL | ln_scikit-1.0.0.tar.gz |
|---|---|
| Size | 51.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.12.7
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Release files / LN_Scikit-1.0.0-py3-none-any.whl
| Download URL | LN_Scikit-1.0.0-py3-none-any.whl |
|---|---|
| Size | 30.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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