sys.stdout.flush() print(" ")# Use a panda dataframe to organize the resultsresults_df = pandas.DataFrame(results, columns="method loss time init".split()) print("Total time = %0.3f sec\n"% (time() - start))# plot the resultsplot_results(results_df, plot_name)returnresults_df 开...
DataFrame( index=test_dataset.samples_frame.id, columns=["proba", "label"] ) test_dataloader = torch.utils.data.DataLoader( test_dataset, shuffle=False, batch_size=self.hparams.get("batch_size", 4), num_workers=self.hparams.get("num_workers", 16)) for batch in tqdm(test_...