Source code for pyDynaMapp.identification.CVA

import numpy as np
import matplotlib.pyplot as plt



class CVA:
    """
    Canonical Variate Analysis:
        This technique maximizes the correlation between past and future data, 
        leading to a state-space model that captures the system dynamics effectively.
        
        .. https://web.mit.edu/braatzgroup/canonical_variate_analysis_based_contributions_for_fault_identification.pdf
    """
    def __init__(self, num_vars:int=1) -> None:
        self.num_vars = num_vars
        


    def fit(self, X: np.ndarray) -> None:
        """Fit the CVA model to the data X."""

        # Implement the fitting process here
    


    def transform(self, X: np.ndarray) -> np.ndarray:
        """Transform the data X into the canonical variates."""
        # Implement the transformation process here
        return transformed_data

    
    def __str__(self) -> str:
        pass