def fit(self, x, y):
		self.n_train = y.size
		self.predictors = []
		idx = np.random.permutation(y.size)
		x, y = x[idx, :], y[idx]
		problem_type = self.predictor.__class__.get_problem_type()
		samples = self.sampler.gen_samples(y,
		                                   self.n_models,
		                                   problem_type)
		for train, cal in samples:
			predictor = clone(self.predictor)
			predictor.fit(x[train, :], y[train])
			predictor.calibrate(x[cal, :], y[cal])
			self.predictors.append(predictor)
Get module name for debug event
dataset/ETHPy150Open donlnz/nonconformist/nonconformist/acp.py/AggregatedCp.fit--crossover with--dataset/ETHPy150Open EiNSTeiN-/idapython/python/idc.py/GetEventModuleName