RBasisPy 1.1

Implementation of a Radial Basis Network

RBasisPy

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RBasisPy is a library that allows you to implement a Radial Basis Network in Python. This library has 3 radial basis function that can be use in the hidden layer of the network.

How to install RBasisPy?

It can be installed from terminal using pip: pip install RBasisPy

License

License for RBasisPy is GNU GPLv3.

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RBasisPy documentation

Once the library is installed, it is necessary to call the network module: from RBasisPy import rbn, rbn is the Radial Basis Network and can be instaced with two parameters: K and f, K means numbers of units in the hidden layer and f the radial basis function.

Parameters

• K: numbers of units in the hidden layer.
• f: {'gaussian', 'inv_sqr', 'inv_mul'} default='gaussian' 'gaussian': Gaussian function. 'inv_sqr': Inverse Quadratic function. 'inv_mul': Inverse Multiquadratic function.

Methods

• fit(X, y): fit the model, X: input data with shape (number of samples, number of features). Y: target vector with shape(n_samples).
• predict(X): predict X using the RBN.

Contact

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