def __init__()

in code/experiment_synthetic/models.py [0:0]


    def __init__(self, environments, args):
        best_reg = 0
        best_err = 1e6

        x_val = environments[-1][0]
        y_val = environments[-1][1]

        for reg in [0, 1e-5, 1e-4, 1e-3, 1e-2, 1e-1]:
            self.train(environments[:-1], args, reg=reg)
            err = (x_val @ self.solution() - y_val).pow(2).mean().item()

            if args["verbose"]:
                print("IRM (reg={:.3f}) has {:.3f} validation error.".format(
                    reg, err))

            if err < best_err:
                best_err = err
                best_reg = reg
                best_phi = self.phi.clone()
        self.phi = best_phi