Package for an implementation of Random Vector Functional Link Network. For the user's convenience the package uses Sklearn's API
Project description
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
Project details
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rvfln-0.0.5.tar.gz
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