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 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:
- a base model, where both X and Y are matrices,
- a regressor, where X is a matrix and y is a vector
- a classifier, where X is a matrix and y is an Iterable of labels
from rvfln import RVFLNClassifier
model = RVFLNClassifier(n_enhancement = 2000)
model.fit(X_train, y_train)
model.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
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