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
1 maintainer
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 | Provenance | Actions |
|---|---|---|---|---|
| ln_scikit-1.0.0.tar.gz | 51.6 kB | Without provenance | Details for ln_scikit-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| LN_Scikit-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for LN_Scikit-1.0.0-py3-none-any.whl |
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 |
|
SHA-256 checksum How to use checksums |
a243b825b959aa3317e49b98356e7baec3a43718bd2e3c640661dd1224f68f68
|
|
BLAKE2b-256 checksum How to use checksums |
0cf00bec1aade4de0f42c22bc80f0753e695c4d09015bf21704eebac84fdf09a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
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 |
|
SHA-256 checksum How to use checksums |
10c28597a976d4cbd5ffefd860ddd71b5bbd05d8def34f83898551abc3893135
|
|
BLAKE2b-256 checksum How to use checksums |
a18e8b925efcd1894012a2350d9302b66b7d490a0f9468f609d4252fd1c1d71c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Security for LN-Scikit 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
