Jeremy Whittaker JeremyWhittaker

## MARDE
def mean_absolute_volatility_error(y_true: Union[List[float], np.ndarray], y_pred: Union[List[float], np.ndarray]) -> float:
    """
    Calculate the mean absolute volatility error for the given true and predicted values.

    :param y_true: List or numpy array of true values
    :param y_pred: List or numpy array of predicted values
    :return: Mean absolute volatility error (in percentage)
    """
    # Convert input lists to numpy arrays
    y_true, y_pred = np.array(y_true), np.array(y_pred)

## pdf_to_mp3.ipynb

      
        
          
            
              
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                JeremyWhittaker
                / pdf_to_mp3.ipynb
            
            
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              February 26, 2024 18:46
            
              
                pdf_to_mp3.ipynb
              
          
        
      
        
  
    
    

          
    
      
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	def mean_absolute_volatility_error(y_true: Union[List[float], np.ndarray], y_pred: Union[List[float], np.ndarray]) -> float:
	"""
	Calculate the mean absolute volatility error for the given true and predicted values.

	:param y_true: List or numpy array of true values
	:param y_pred: List or numpy array of predicted values
	:return: Mean absolute volatility error (in percentage)
	"""
	# Convert input lists to numpy arrays
	y_true, y_pred = np.array(y_true), np.array(y_pred)