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plt.xlabel("test MAE loss") plt.ylabel("No of samples") plt.show() # Detect all the samples which are anomalies. anomalies = test_mae_loss > threshold print("Number of anomaly samples: ", np.sum(anomalies)) print("Indices of anomaly samples: ", np.where(anomalies)) # data i is an anomaly if samples