4b83c1070cebd0d996ba2cc69779dcb66d5d0032,autokeras/classifier.py,ClassifierBase,fit,#ClassifierBase#Any#Any#Any#Any#Any#,126

Before Change

                searcher = self.load_searcher()
                if searcher.model_count >= constant.MAX_MODEL_NUM:
                    return
                p = multiprocessing.Process(target=run_searcher_once, args=(x_train, y_train, x_test, y_test, self.path))
                p.start()
                p.join()

        start_time = time.time()
        while time.time() - start_time <= time_limit:
            p = multiprocessing.Process(target=run_searcher_once, args=(x_train, y_train, x_test, y_test, self.path))

After Change

        start_time = time.time()
        while time.time() - start_time <= time_limit:
            run_searcher_once(x_train, y_train, x_test, y_test, self.path)
            if len(self.load_searcher().history) >= constant.MAX_MODEL_NUM:
                break

    def predict(self, x_test):
        Return predict result for the testing data.

        Args:

Instances