Metadata-Version: 2.1
Name: RBasisPy
Version: 1.1
Summary: Implementation of a Radial Basis Network
Home-page: https://github.com/2mikeg/erbn
Author: Michael Guzmán
Author-email: michael.guzman.personal@gmail.com
License: GPLv3
Description: # RBasisPy
        ***
        **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](https://www.gnu.org/licenses/gpl-3.0.html).
        ***
        # 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***
        
         - E-mail: michael.guzman.personal@gmail.com
         - LinkedIn: [Click here](https://www.linkedin.com/in/dguzmanmichael/)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
