"""
EnhancedLearningAlgorithm
Generated by Eden via recursive self-improvement
2025-11-01 08:59:27.942645
"""

class EnhancedLearningAlgorithm:
    def __init__(self):
        self.learning_rate = 0.1  # Initial learning rate for parameter adjustment
        self.parameters = {}     # Parameters that need to be optimized

    def update_parameters(self, feedback):
        """
        Update the parameters based on user feedback.
        
        Args:
            feedback (dict): A dictionary containing keys 'parameter' and 'adjustment'
                             where 'parameter' is the name of the parameter
                             and 'adjustment' is the value to adjust the parameter by.
        """
        for param, adjustment in feedback.items():
            if param in self.parameters:
                # Adjust the parameter based on user feedback
                self.parameters[param] += adjustment * self.learning_rate

    def get_parameter(self, parameter_name):
        """
        Retrieve a current parameter's value.
        
        Args:
            parameter_name (str): The name of the parameter to retrieve.
        
        Returns:
            float: The current value of the specified parameter.
        """
        return self.parameters.get(parameter_name, 0.0)

    def set_parameter(self, parameter_name, value):
        """
        Set a parameter's value directly.
        
        Args:
            parameter_name (str): The name of the parameter to set.
            value (float): The new value for the specified parameter.
        """
        self.parameters[parameter_name] = value

# Example usage
if __name__ == "__main__":
    algo = EnhancedLearningAlgorithm()
    
    # Simulate user feedback - in a real-world scenario, this would be based on actual user interaction data.
    user_feedback = {
        "learning_rate": 0.1,
        "parameters['response_time']": -0.05
    }
    
    # Update the algorithm parameters based on simulated user feedback
    algo.update_parameters(user_feedback)
    
    # Print current parameter values to see the changes
    print("Updated learning rate:", algo.get_parameter('learning_rate'))
    print("Updated response time parameter value:", algo.get_parameter('response_time'))