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Learning Parametric Koopman Documentation

Class RBFDictionary

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Learning Parametric Koopman Documentation

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  - Class RBFDictionary Class RBFDictionary
    Table of contents
    
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Table of contents

Methods

Class RBFDictionary

The class RBFDictionary is the implementation of the RBF dictionary, it's a subclass of Dictionary.

Methods¶

__init__(self, data_x, nontrain_func, dim_input, dim_output, dim_nontrain, reg)
- data_x (numpy array): The input data of the states, used to compute the RBF centers.
- nontrain_func (tensor -> tensor): The non-trainable function that maps the input data to the output data.
- dim_input (int): The dimension of the input data.
- dim_output (int): The dimension of the output data.
- dim_nontrain (int): The dimension of the non-trainable part of the output data.
- reg (float): The regularization parameter used in the RBF dictionary.

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