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zf<@vHodfBBJTJ$A=E9^$sRI9|!Y8N91|{EQnN*YfVa+Dzn1JzD1dT(R-}MT2b%Sxv z;4PCE?{9i;Hv{5+IS&6A&y6Li`4T9Ks+w9A9%1uOJ3tH=pR3ydH-O05IOpO4L}BRy z15BK#i2Y+tfheFY?5hxR?*IjO4L-lY7LzOW=yZMf( z2?WTub@*#no+2_)_U;(itIJcd_%21^z>7~|e0UwKpfymS|L63{xf1tQy=wutcnB4w N*jn2k$hLHk{4ax2ZfyVn diff --git a/dev/auto_examples/advanced_training/plot_bcic_iv_4_ecog_cropped.html b/dev/auto_examples/advanced_training/plot_bcic_iv_4_ecog_cropped.html index 2e10c3ef..66bbe19f 100644 --- a/dev/auto_examples/advanced_training/plot_bcic_iv_4_ecog_cropped.html +++ b/dev/auto_examples/advanced_training/plot_bcic_iv_4_ecog_cropped.html @@ -562,7 +562,7 @@

Preprocessingpreprocess(test_set, [Preprocessor('crop', tmin=0, tmax=24)], n_jobs=-1) - -plot bcic iv 4 ecog cropped

Total running time of the script: (0 minutes 23.521 seconds)

-

Estimated memory usage: 790 MB

+plot bcic iv 4 ecog cropped

Total running time of the script: (0 minutes 20.447 seconds)

+

Estimated memory usage: 829 MB

  epoch    train_accuracy    train_loss    valid_accuracy    valid_loss      lr     dur
 -------  ----------------  ------------  ----------------  ------------  ------  ------
-      1            0.2535        1.6458            0.2535        5.1252  0.0006  3.2541
-      2            0.2639        1.3297            0.2500        5.7606  0.0005  2.9900
-      3            0.2639        1.1539            0.2500        5.1230  0.0002  2.9194
-      4            0.2708        1.1567            0.2535        4.2554  0.0000  2.9887
+      1            0.2535        1.6458            0.2535        5.1251  0.0006  2.9583
+      2            0.2639        1.3297            0.2500        5.7606  0.0005  2.5712
+      3            0.2639        1.1539            0.2500        5.1230  0.0002  2.6512
+      4            0.2708        1.1567            0.2535        4.2554  0.0000  2.7674
 
 <class 'braindecode.classifier.EEGClassifier'>[initialized](
   module_=============================================================================================================================================
@@ -801,8 +801,8 @@ 

Setting the data aug -

Total running time of the script: (0 minutes 27.533 seconds)

-

Estimated memory usage: 137 MB

+

Total running time of the script: (0 minutes 24.567 seconds)

+

Estimated memory usage: 56 MB

-
<braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45eac160>
+
<braindecode.datasets.base.BaseConcatDataset object at 0x7f3e53d86350>
 
@@ -834,31 +834,31 @@

Training
  epoch    train_acc    train_loss    valid_acc    valid_loss    cp     dur
 -------  -----------  ------------  -----------  ------------  ----  ------
-      1       0.5547        0.7113       0.6040        0.6843     +  2.1381
-      2       0.6328        0.6624       0.5600        0.6505     +  1.6028
-      3       0.4922        0.8274       0.5520        0.6834        1.6353
-      4       0.5078        0.7217       0.5320        0.7066        1.5918
-      5       0.5859        0.6870       0.6240        0.6800        1.6182
-      6       0.6016        0.6799       0.6760        0.6374     +  1.5356
-      7       0.6016        0.6642       0.6560        0.6085     +  1.6289
-      8       0.5469        0.6655       0.6560        0.5988     +  1.5575
-      9       0.6328        0.6287       0.6520        0.5978     +  1.6035
-     10       0.6094        0.6392       0.6560        0.5869     +  1.5281
-     11       0.6094        0.6527       0.6760        0.5717     +  1.5634
-     12       0.6562        0.6493       0.6720        0.5593     +  1.5700
-     13       0.6094        0.6815       0.7160        0.5470     +  1.5803
-     14       0.6328        0.6065       0.7280        0.5357     +  1.5635
-     15       0.6797        0.6099       0.7320        0.5279     +  1.6047
-     16       0.7031        0.5865       0.7480        0.5253     +  1.5922
-     17       0.6406        0.6095       0.7320        0.5315        1.6159
-     18       0.6719        0.5854       0.7360        0.5321        1.6126
-     19       0.7344        0.5543       0.7400        0.5261        1.5679
-     20       0.6172        0.6114       0.7400        0.5221     +  1.6264
-     21       0.7031        0.5514       0.7280        0.5257        1.5455
-     22       0.7109        0.5510       0.7320        0.5293        1.5524
-     23       0.6641        0.5857       0.7240        0.5321        1.5771
-     24       0.7109        0.6338       0.7200        0.5294        1.6295
-     25       0.6719        0.5711       0.7280        0.5294        1.6029
+      1       0.5547        0.7113       0.6000        0.6843     +  1.6696
+      2       0.6328        0.6624       0.5600        0.6505     +  1.2254
+      3       0.4922        0.8274       0.5560        0.6834        1.1985
+      4       0.5078        0.7217       0.5360        0.7066        1.1870
+      5       0.5859        0.6870       0.6240        0.6799        1.1816
+      6       0.6016        0.6796       0.6640        0.6374     +  1.2031
+      7       0.6016        0.6640       0.6560        0.6086     +  1.1575
+      8       0.5312        0.6652       0.6600        0.5995     +  1.2373
+      9       0.6250        0.6280       0.6480        0.5983     +  1.1927
+     10       0.6250        0.6371       0.6520        0.5872     +  1.2076
+     11       0.6016        0.6539       0.6720        0.5716     +  1.1811
+     12       0.6641        0.6481       0.6840        0.5585     +  1.1827
+     13       0.6172        0.6784       0.7080        0.5460     +  1.2542
+     14       0.6250        0.6074       0.7200        0.5350     +  1.1669
+     15       0.7109        0.6056       0.7320        0.5279     +  1.1827
+     16       0.7031        0.5857       0.7360        0.5259     +  1.1796
+     17       0.6250        0.6123       0.7440        0.5328        1.1845
+     18       0.6562        0.5821       0.7360        0.5331        1.1847
+     19       0.7344        0.5464       0.7400        0.5277        1.1724
+     20       0.6484        0.6304       0.7320        0.5234     +  1.1785
+     21       0.6953        0.5459       0.7400        0.5264        1.1914
+     22       0.7422        0.5492       0.7280        0.5297        1.1366
+     23       0.6562        0.5958       0.7160        0.5296        1.1903
+     24       0.7188        0.6367       0.7240        0.5252        1.1268
+     25       0.6875        0.5745       0.7200        0.5237        1.1607
 
@@ -923,16 +923,16 @@

Inspecting pretext t print(classification_report(y_true, y_pred))

- @@ -1039,7 +1039,7 @@

Using the learned re plot relative positioning
/home/runner/work/braindecode/braindecode/examples/advanced_training/plot_relative_positioning.py:477: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.
   colors = cm.get_cmap('viridis', 5)(range(5))
 
-<matplotlib.legend.Legend object at 0x7fcd28b65d20>
+<matplotlib.legend.Legend object at 0x7f3e4b402590>
 

We see that there is sleep stage-related structure in the embedding. A @@ -1096,8 +1096,8 @@

References -

Total running time of the script: (1 minutes 5.127 seconds)

-

Estimated memory usage: 153 MB

+

Total running time of the script: (0 minutes 47.677 seconds)

+

Estimated memory usage: 247 MB

-plot bcic iv 4 ecog trial

Total running time of the script: (0 minutes 54.543 seconds)

-

Estimated memory usage: 111 MB

+plot bcic iv 4 ecog trial

Total running time of the script: (0 minutes 47.115 seconds)

+

Estimated memory usage: 213 MB

-
<braindecode.datasets.base.BaseConcatDataset object at 0x7fcd2afbd2d0>
+
<braindecode.datasets.base.BaseConcatDataset object at 0x7f3e4b4f48b0>
 
@@ -739,16 +739,16 @@

Training

  epoch    train_bal_acc    train_loss    valid_bal_acc    valid_loss     dur
 -------  ---------------  ------------  ---------------  ------------  ------
-      1           0.2107        1.6178           0.2066        1.6041  3.2994
-      2           0.2280        1.5977           0.2000        1.6133  2.8487
-      3           0.2202        1.5796           0.2128        1.6148  2.7752
-      4           0.3645        1.4959           0.3315        1.5805  2.9067
-      5           0.4404        1.3250           0.2195        1.7602  2.8951
-      6           0.5275        1.0835           0.3624        1.6435  2.8155
-      7           0.5630        0.9404           0.4096        1.4615  2.7863
-      8           0.6798        0.8261           0.3784        1.8723  2.8115
-      9           0.6880        0.7703           0.3984        1.8295  2.7325
-     10           0.7335        0.6548           0.5521        1.2594  2.8087
+      1           0.2107        1.6178           0.2066        1.6041  2.1478
+      2           0.2280        1.5977           0.2000        1.6133  2.0141
+      3           0.2202        1.5796           0.2128        1.6148  2.0280
+      4           0.3580        1.4962           0.3285        1.5805  2.0826
+      5           0.4434        1.3255           0.2195        1.7629  2.0620
+      6           0.5262        1.0843           0.3614        1.6399  2.0155
+      7           0.5755        0.9415           0.4105        1.4619  1.9465
+      8           0.6745        0.8265           0.3784        1.8734  1.9450
+      9           0.6944        0.7710           0.3966        1.8442  1.9625
+     10           0.7365        0.6541           0.5511        1.2708  1.9034
 
 <class 'braindecode.classifier.EEGClassifier'>[initialized](
   module_=Sequential(
@@ -816,15 +816,15 @@ 

Plot results
              precision    recall  f1-score   support
 
-           0       0.24      0.31      0.27        61
+           0       0.25      0.31      0.28        61
            1       0.08      0.10      0.09        21
-           2       0.58      0.67      0.62       194
+           2       0.58      0.68      0.63       194
            3       0.33      0.24      0.28        75
            4       0.00      0.00      0.00        32
 
-    accuracy                           0.44       383
-   macro avg       0.25      0.26      0.25       383
-weighted avg       0.40      0.44      0.42       383
+    accuracy                           0.45       383
+   macro avg       0.25      0.27      0.25       383
+weighted avg       0.40      0.45      0.42       383
 

Finally, we can also visualize the hypnogram of the recording we used for @@ -882,8 +882,8 @@

ReferencesTotal running time of the script: (0 minutes 47.137 seconds)

-

Estimated memory usage: 9 MB

+

Total running time of the script: (0 minutes 33.928 seconds)

+

Estimated memory usage: 10 MB

-
<braindecode.datasets.base.BaseConcatDataset object at 0x7fcd28c76c20>
+
<braindecode.datasets.base.BaseConcatDataset object at 0x7f3e4bbe1600>
 
@@ -733,9 +733,9 @@

Training

- @@ -826,8 +826,8 @@

ReferencesTotal running time of the script: (0 minutes 21.138 seconds)

-

Estimated memory usage: 14 MB

+

Total running time of the script: (0 minutes 16.509 seconds)

+

Estimated memory usage: 16 MB

-

Total running time of the script: (0 minutes 4.987 seconds)

-

Estimated memory usage: 9 MB

+

Total running time of the script: (0 minutes 4.359 seconds)

+

Estimated memory usage: 8 MB

-
Writing /tmp/tmppdkat_5u/0/0-raw.fif
-Closing /tmp/tmppdkat_5u/0/0-raw.fif
+
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+Closing /tmp/tmps_e7f076/0/0-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/1/1-raw.fif
-Closing /tmp/tmppdkat_5u/1/1-raw.fif
+Writing /tmp/tmps_e7f076/1/1-raw.fif
+Closing /tmp/tmps_e7f076/1/1-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/2/2-raw.fif
-Closing /tmp/tmppdkat_5u/2/2-raw.fif
+Writing /tmp/tmps_e7f076/2/2-raw.fif
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-Writing /tmp/tmppdkat_5u/3/3-raw.fif
-Closing /tmp/tmppdkat_5u/3/3-raw.fif
+Writing /tmp/tmps_e7f076/3/3-raw.fif
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-Writing /tmp/tmppdkat_5u/4/4-raw.fif
-Closing /tmp/tmppdkat_5u/4/4-raw.fif
+Writing /tmp/tmps_e7f076/4/4-raw.fif
+Closing /tmp/tmps_e7f076/4/4-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/5/5-raw.fif
-Closing /tmp/tmppdkat_5u/5/5-raw.fif
+Writing /tmp/tmps_e7f076/5/5-raw.fif
+Closing /tmp/tmps_e7f076/5/5-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/6/6-raw.fif
-Closing /tmp/tmppdkat_5u/6/6-raw.fif
+Writing /tmp/tmps_e7f076/6/6-raw.fif
+Closing /tmp/tmps_e7f076/6/6-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/7/7-raw.fif
-Closing /tmp/tmppdkat_5u/7/7-raw.fif
+Writing /tmp/tmps_e7f076/7/7-raw.fif
+Closing /tmp/tmps_e7f076/7/7-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/8/8-raw.fif
-Closing /tmp/tmppdkat_5u/8/8-raw.fif
+Writing /tmp/tmps_e7f076/8/8-raw.fif
+Closing /tmp/tmps_e7f076/8/8-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/9/9-raw.fif
-Closing /tmp/tmppdkat_5u/9/9-raw.fif
+Writing /tmp/tmps_e7f076/9/9-raw.fif
+Closing /tmp/tmps_e7f076/9/9-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/10/10-raw.fif
-Closing /tmp/tmppdkat_5u/10/10-raw.fif
+Writing /tmp/tmps_e7f076/10/10-raw.fif
+Closing /tmp/tmps_e7f076/10/10-raw.fif
 [done]
-Writing /tmp/tmppdkat_5u/11/11-raw.fif
-Closing /tmp/tmppdkat_5u/11/11-raw.fif
+Writing /tmp/tmps_e7f076/11/11-raw.fif
+Closing /tmp/tmps_e7f076/11/11-raw.fif
 [done]
 
@@ -638,11 +638,11 @@ )
-
Opening raw data file /tmp/tmppdkat_5u/1/1-raw.fif...
+
Opening raw data file /tmp/tmps_e7f076/1/1-raw.fif...
     Range : 0 ... 3868 =      0.000 ...   386.800 secs
 Ready.
 Reading 0 ... 3868  =      0.000 ...   386.800 secs...
-Opening raw data file /tmp/tmppdkat_5u/3/3-raw.fif...
+Opening raw data file /tmp/tmps_e7f076/3/3-raw.fif...
     Range : 0 ... 3868 =      0.000 ...   386.800 secs
 Ready.
 Reading 0 ... 3868  =      0.000 ...   386.800 secs...
@@ -727,7 +727,7 @@
 Using data from preloaded Raw for 48 events and 40 original time points ...
 /home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:566: UserWarning: The number of saved datasets (2) does not match the number of existing subdirectories (12). You may now encounter a mix of differently preprocessed datasets!
   warnings.warn(f"The number of saved datasets ({i_ds+1+offset}) "
-/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:574: UserWarning: Chosen directory /tmp/tmppdkat_5u contains other subdirectories or files ['10', '9', '7', '8', '5', '3', '6', '4', '2', '11'].
+/home/runner/work/braindecode/braindecode/braindecode/datasets/base.py:574: UserWarning: Chosen directory /tmp/tmps_e7f076 contains other subdirectories or files ['10', '9', '7', '8', '5', '3', '6', '4', '2', '11'].
   warnings.warn(f'Chosen directory {path} contains other '
 
@@ -744,7 +744,7 @@ windows_dataset_loaded.description
-
Reading /tmp/tmppdkat_5u/0/0-epo.fif ...
+
Reading /tmp/tmps_e7f076/0/0-epo.fif ...
     Found the data of interest:
         t =       0.00 ...    3900.00 ms
         0 CTF compensation matrices available
@@ -790,7 +790,7 @@
 

-

Total running time of the script: (0 minutes 8.697 seconds)

+

Total running time of the script: (0 minutes 7.629 seconds)

Estimated memory usage: 9 MB


-

Total running time of the script: (0 minutes 1.992 seconds)

-

Estimated memory usage: 9 MB

+

Total running time of the script: (0 minutes 2.122 seconds)

+

Estimated memory usage: 8 MB

-
{'run_0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec2680>, 'run_1': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0310>, 'run_2': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0190>, 'run_3': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec28c0>, 'run_4': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0040>, 'run_5': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0f70>}
+
{'run_0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e75723940>, 'run_1': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143a860>, 'run_2': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143baf0>, 'run_3': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143ac80>, 'run_4': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e51439f90>, 'run_5': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e514393c0>}
 
@@ -705,7 +705,7 @@

By row indexsplits["0"].description

-
{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec01f0>}
+
{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e75722aa0>}
 
@@ -765,7 +765,7 @@

By row indexsplits["2"].description

-
{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec1b70>, '1': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0f40>, '2': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec14b0>}
+
{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e757202e0>, '1': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e75723100>, '2': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e757214e0>}
 
@@ -843,7 +843,7 @@

By row indexsplits["test"].description

-
{'train': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec2500>, 'valid': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec3670>, 'test': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0310>}
+
{'train': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143ae00>, 'valid': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e51439f90>, 'test': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143a530>}
 
@@ -983,20 +983,20 @@

Observation

Using description info
-{'run_0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec1300>, 'run_1': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec09a0>, 'run_2': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec3190>, 'run_3': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd2ac9f850>, 'run_4': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd2ac9f880>, 'run_5': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd2ac9f7f0>}
+{'run_0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd99840>, 'run_1': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd9af80>, 'run_2': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd9b4c0>, 'run_3': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd99a20>, 'run_4': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e4b91b400>, 'run_5': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143b6d0>}
 
 Splitting by row index
-{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec1d80>}
+{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e5143a530>}
 
 Multiple row index split
-{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec1b40>, '1': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec2e90>}
+{'0': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd99a20>, '1': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd9aa70>}
 
 Specifying keys
-{'train': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec2d70>, 'test': <braindecode.datasets.base.BaseConcatDataset object at 0x7fcd45ec0b50>}
+{'train': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd99270>, 'test': <braindecode.datasets.base.BaseConcatDataset object at 0x7f3e6cd99c00>}
 
-

Total running time of the script: (0 minutes 7.644 seconds)

-

Estimated memory usage: 9 MB

+

Total running time of the script: (0 minutes 7.044 seconds)

+

Estimated memory usage: 8 MB

-

Total running time of the script: (0 minutes 4.523 seconds)

+

Total running time of the script: (0 minutes 4.223 seconds)

Estimated memory usage: 9 MB

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