Update tutorial artifacts for braindecode/plot_data_augmentation_search

metadata.json

@@ -1,21 +1,21 @@
 {
   "best_augmentation": "SmoothTimeMask",
-  "best_candidate": "SmoothTimeMask(mask_len_samples=300)",
-  "best_magnitude": 300.0,
-  "best_relative_validation_improvement": 0.6438356164383561,
+  "best_candidate": "SmoothTimeMask(mask_len_samples=500)",
+  "best_magnitude": 500.0,
+  "best_relative_validation_improvement": 0.328125,
   "chance_level": 0.25,
   "cv_splits": 2,
   "display_metric_key": "eval_accuracy",
   "display_metric_name": "accuracy",
   "display_split_name": "held-out session",
   "epochs_requested": 100,
-  "eval_accuracy": 0.6805555555555556,
-  "identity_validation_score": 0.2534722222222222,
-  "patience": 20,
+  "eval_accuracy": 0.3784722222222222,
+  "identity_validation_score": 0.2222222222222222,
+  "patience": 10,
   "search_candidates": 16,
   "search_magnitudes_per_augmentation": 5,
   "short_run_epochs": 2,
-  "training_score": 0.8020833333333333,
+  "training_score": 0.4826388888888889,
   "tutorial": "plot_data_augmentation_search",
-  "validation_score": 0.41666666666666663
+  "validation_score": 0.2951388888888889
 }

search_results.csv

@@ -1,17 +1,17 @@
 candidate_label,augmentation,magnitude,display_magnitude,axis_label,sort_order,mean_training_accuracy,std_training_accuracy,mean_validation_accuracy,std_validation_accuracy,rank_validation_accuracy,relative_validation_improvement,relative_training_improvement,relative_validation_improvement_pct,relative_training_improvement_pct
-IdentityTransform(),IdentityTransform,0.0,0.0,Identity baseline,0,0.26041666666666663,0.03819444444444445,0.2534722222222222,0.00347222222222221,9,0.0,0.0,0.0,0.0
-FTSurrogate(phase_noise_magnitude=0.1),FTSurrogate,0.1,0.1,Phase noise magnitude,1,0.24652777777777776,0.024305555555555552,0.21875,0.010416666666666657,15,-0.136986301369863,-0.05333333333333323,-13.698630136986301,-5.333333333333323
-FTSurrogate(phase_noise_magnitude=0.3),FTSurrogate,0.3,0.3,Phase noise magnitude,1,0.2638888888888889,0.02083333333333333,0.2361111111111111,0.013888888888888895,12,-0.06849315068493145,0.01333333333333342,-6.849315068493144,1.333333333333342
-FTSurrogate(phase_noise_magnitude=0.5),FTSurrogate,0.5,0.5,Phase noise magnitude,1,0.2743055555555555,0.04513888888888888,0.2361111111111111,0.03472222222222221,12,-0.06849315068493145,0.053333333333333455,-6.849315068493144,5.3333333333333455
-FTSurrogate(phase_noise_magnitude=0.7),FTSurrogate,0.7,0.7,Phase noise magnitude,1,0.2326388888888889,0.02430555555555554,0.22569444444444442,0.0034722222222222238,14,-0.10958904109589052,-0.10666666666666647,-10.958904109589051,-10.666666666666647
-FTSurrogate(phase_noise_magnitude=0.9),FTSurrogate,0.9,0.9,Phase noise magnitude,1,0.22916666666666669,0.02083333333333333,0.21875,0.00347222222222221,15,-0.136986301369863,-0.11999999999999977,-13.698630136986301,-11.999999999999977
-SmoothTimeMask(mask_len_samples=100),SmoothTimeMask,100.0,0.4,Mask length (s),2,0.2569444444444444,0.0,0.2673611111111111,0.010416666666666685,8,0.0547945205479452,-0.013333333333333308,5.47945205479452,-1.3333333333333308
-SmoothTimeMask(mask_len_samples=200),SmoothTimeMask,200.0,0.8,Mask length (s),2,0.6458333333333333,0.18055555555555552,0.3784722222222222,0.13541666666666666,4,0.4931506849315068,1.48,49.31506849315068,148.0
-SmoothTimeMask(mask_len_samples=300),SmoothTimeMask,300.0,1.2,Mask length (s),2,0.8020833333333333,0.024305555555555525,0.41666666666666663,0.06944444444444445,1,0.6438356164383561,2.08,64.3835616438356,208.0
-SmoothTimeMask(mask_len_samples=400),SmoothTimeMask,400.0,1.6,Mask length (s),2,0.7534722222222223,0.017361111111111105,0.38541666666666663,0.03819444444444445,3,0.5205479452054793,1.893333333333334,52.05479452054793,189.3333333333334
-SmoothTimeMask(mask_len_samples=500),SmoothTimeMask,500.0,2.0,Mask length (s),2,0.7673611111111112,0.017361111111111105,0.3993055555555556,0.024305555555555552,2,0.5753424657534247,1.9466666666666672,57.53424657534247,194.6666666666667
-ChannelsDropout(p_drop=0.2),ChannelsDropout,0.2,0.2,Drop probability,3,0.2361111111111111,0.0069444444444444475,0.24305555555555555,0.027777777777777762,11,-0.041095890410958846,-0.09333333333333327,-4.109589041095885,-9.333333333333327
-ChannelsDropout(p_drop=0.4),ChannelsDropout,0.4,0.4,Drop probability,3,0.5625,0.3194444444444444,0.3298611111111111,0.12152777777777778,6,0.3013698630136987,1.1600000000000001,30.136986301369873,116.00000000000001
-ChannelsDropout(p_drop=0.6),ChannelsDropout,0.6,0.6,Drop probability,3,0.27083333333333337,0.020833333333333343,0.24652777777777776,0.010416666666666657,10,-0.0273972602739726,0.04000000000000026,-2.73972602739726,4.000000000000026
-ChannelsDropout(p_drop=0.8),ChannelsDropout,0.8,0.8,Drop probability,3,0.6284722222222222,0.23263888888888892,0.3298611111111111,0.05902777777777779,6,0.3013698630136987,1.4133333333333336,30.136986301369873,141.33333333333334
-ChannelsDropout(p_drop=1.0),ChannelsDropout,1.0,1.0,Drop probability,3,0.5868055555555556,0.045138888888888895,0.3368055555555556,0.05208333333333334,5,0.32876712328767144,1.2533333333333339,32.87671232876714,125.33333333333339
+IdentityTransform(),IdentityTransform,0.0,0.0,Identity baseline,0,0.2881944444444444,0.03125,0.2222222222222222,0.013888888888888881,11,0.0,0.0,0.0,0.0
+FTSurrogate(phase_noise_magnitude=0.1),FTSurrogate,0.1,0.1,Phase noise magnitude,1,0.25,0.006944444444444434,0.2152777777777778,0.006944444444444434,14,-0.03124999999999989,-0.13253012048192758,-3.124999999999989,-13.253012048192758
+FTSurrogate(phase_noise_magnitude=0.3),FTSurrogate,0.3,0.3,Phase noise magnitude,1,0.26041666666666663,0.0034722222222222376,0.2152777777777778,0.013888888888888881,14,-0.03124999999999989,-0.09638554216867479,-3.124999999999989,-9.63855421686748
+FTSurrogate(phase_noise_magnitude=0.5),FTSurrogate,0.5,0.5,Phase noise magnitude,1,0.2222222222222222,0.0,0.20833333333333334,0.0069444444444444475,16,-0.06249999999999989,-0.22891566265060237,-6.249999999999989,-22.891566265060238
+FTSurrogate(phase_noise_magnitude=0.7),FTSurrogate,0.7,0.7,Phase noise magnitude,1,0.2569444444444444,0.0,0.2222222222222222,0.006944444444444434,11,0.0,-0.10843373493975905,0.0,-10.843373493975905
+FTSurrogate(phase_noise_magnitude=0.9),FTSurrogate,0.9,0.9,Phase noise magnitude,1,0.26041666666666663,0.05902777777777776,0.22916666666666666,0.027777777777777762,10,0.03125,-0.09638554216867479,3.125,-9.63855421686748
+SmoothTimeMask(mask_len_samples=100),SmoothTimeMask,100.0,0.4,Mask length (s),2,0.23958333333333334,0.03819444444444445,0.2326388888888889,0.0034722222222222238,7,0.046875,-0.1686746987951806,4.6875,-16.86746987951806
+SmoothTimeMask(mask_len_samples=200),SmoothTimeMask,200.0,0.8,Mask length (s),2,0.4791666666666667,0.22916666666666669,0.2569444444444444,0.062499999999999986,3,0.15625,0.6626506024096388,15.625,66.26506024096388
+SmoothTimeMask(mask_len_samples=300),SmoothTimeMask,300.0,1.2,Mask length (s),2,0.5173611111111112,0.2673611111111111,0.29166666666666663,0.04166666666666666,2,0.3125,0.7951807228915666,31.25,79.51807228915666
+SmoothTimeMask(mask_len_samples=400),SmoothTimeMask,400.0,1.6,Mask length (s),2,0.25,0.02777777777777779,0.21875,0.00347222222222221,13,-0.015625,-0.13253012048192758,-1.5625,-13.253012048192758
+SmoothTimeMask(mask_len_samples=500),SmoothTimeMask,500.0,2.0,Mask length (s),2,0.4826388888888889,0.1076388888888889,0.2951388888888889,0.017361111111111105,1,0.328125,0.6746987951807231,32.8125,67.4698795180723
+ChannelsDropout(p_drop=0.2),ChannelsDropout,0.2,0.2,Drop probability,3,0.2673611111111111,0.03819444444444446,0.22916666666666669,0.02083333333333333,9,0.03125000000000022,-0.07228915662650592,3.125000000000022,-7.228915662650593
+ChannelsDropout(p_drop=0.4),ChannelsDropout,0.4,0.4,Drop probability,3,0.2534722222222222,0.03125,0.2361111111111111,0.027777777777777776,6,0.0625,-0.12048192771084332,6.25,-12.04819277108433
+ChannelsDropout(p_drop=0.6),ChannelsDropout,0.6,0.6,Drop probability,3,0.25,0.013888888888888895,0.2465277777777778,0.01736111111111112,5,0.10937500000000022,-0.13253012048192758,10.937500000000021,-13.253012048192758
+ChannelsDropout(p_drop=0.8),ChannelsDropout,0.8,0.8,Drop probability,3,0.2465277777777778,0.01736111111111112,0.25,0.013888888888888895,4,0.125,-0.14457831325301196,12.5,-14.457831325301196
+ChannelsDropout(p_drop=1.0),ChannelsDropout,1.0,1.0,Drop probability,3,0.3298611111111111,0.06597222222222221,0.2326388888888889,0.017361111111111105,7,0.046875,0.14457831325301207,4.6875,14.457831325301207