RVFLN
A Python implementation of Random Vector Functional Link Networks and Broad Learning Systems using the Sklearn API
Installation
pip install rvfln
Usage
Since the API is based on that of sklearn the usage is very similar. The package contains:
- An rvfln module containing a regressor and a classifier estimator
- A bls module containing a regressor and a classifier estimator
Example:
from rvfln.bls import BLSClassifier
clf = BLSClassifier(
n_z = 10,
n_z_features = 400,
n_h = 2000,
alpha = 1
).fit(x_train, y_train)
print(clf.score(x_test, y_test))
YOH-HAN PAO, STEPHEN M. PHILLIPS & DEJAN J. SOBAJIC (1992) Neural-net computing and the intelligent control of systems, International Journal of Control, 56:2, 263-289, DOI: 10.1080/00207179208934315
1 maintainer
Metadata
1 maintainer
Release files for rvfln 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 | Provenance | Actions |
|---|---|---|---|---|
| rvfln-0.0.6.tar.gz | 3.7 kB | Without provenance | Details for rvfln-0.0.6.tar.gz |
Release files / rvfln-0.0.6.tar.gz
| Download URL | rvfln-0.0.6.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
68d86dd9c63cf6dcdd1ad24796a51ecab4f2c6136f21feb0039429ec182d31fd
|
|
BLAKE2b-256 checksum How to use checksums |
785d3652cfdc3e7423cbf714306c38c29c7f83883e87fc07aa85992e5cd306a9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.62.3 importlib-metadata/4.11.3 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10
|
Security for rvfln 0.0.6
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.
