ckle.dump(M, file)
    
    def calibrate(self,
                  qsteps=1000,num_workers=11,
                  calibration_num=10000):
        &#34;&#34;&#34;
        Calibrates the decision thresholds for the Veritas model using the distribution of scores
        from the trained model. It involves sampling, revealing, and fitting distributions 
        to determine appropriate thresholds.


        Parameters:
        qsteps (int): Steps for q-sampling during calibration.
        num_workers (int): Numbe