def handle(self):
		run_root = self.__backend_mgr.get_run_root(self.__task.data['backend'], self.__task.data['id'])

		main_root = os.path.join(run_root, 'main')

		safe_rmdir(main_root)
		safe_mkdir(main_root)

		self.__create_input(main_root)
		self.__create_context(main_root)
		self.__create_action(main_root)
		self.__create_navigator(main_root)
		self.__create_bootstrap(main_root)

		launcher_param = self.__create_launcher(run_root)

		self.__submit(launcher_param)
def __init__(self, train_x, train_y, likelihood):
        super(GPRegressionModel, self).__init__(train_x, train_y, likelihood)
        self.mean_module = ConstantMean(prior=SmoothedBoxPrior(-1e-5, 1e-5))
        self.base_covar_module = ScaleKernel(RBFKernel(lengthscale_prior=SmoothedBoxPrior(exp(-5), exp(6), sigma=0.1)))
        self.covar_module = InducingPointKernel(
            self.base_covar_module, inducing_points=torch.linspace(0, 1, 32), likelihood=likelihood
        )