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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def draw(self):
 """ Draws the alpha plot based on the values on the estimator. """

        # Search for the correct parameters on the estimator.
        alphas = self._find_alphas_param()
        errors = self._find_errors_param()


        alpha = self.estimator.alpha_ # Get decision from the estimator
        name = self.name[:-2].lower() # Remove the CV from the label

        # Plot the alpha against the error
        self.ax.plot(alphas, errors, label=name)

        # Draw a dashed vline at the alpha
        label = "$\\alpha={:0.3f}$".format(alpha)
        self.ax.axvline(alpha, color='k', linestyle='dashed', label=label)

        return self.ax