b048efa4f956b80266942caea6ee8b4311e1d17a,autokeras/classifier.py,ClassifierBase,fit,#ClassifierBase#Any#Any#Any#Any#Any#,119

Before Change

            while True:
                p = multiprocessing.Process(target=run_searcher_once, args=(x_train, y_train, x_test, y_test, self.path))
                p.start()
                p.join()
        except TimeoutError:
            if self.verbose:
                print("Timed is up!")
            return

After Change

                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))
            p.start()
            // Kill the process if necessary.
            while time.time() - start_time <= time_limit:
                if p.is_alive():
                    time.sleep(1)
                else:
                    break
            else:
                // If break above the code in this else won"t run
                p.terminate()
                p.join()

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

        Args:

Instances