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100644 Binary files a/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_001.png and b/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_001.png differ diff --git a/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.png b/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.png index 171101707..fae2d3535 100644 Binary files a/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.png and b/docs/_images/sphx_glr_tutorial_3_benchmarking_multiple_pipelines_thumb.png differ diff --git a/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html b/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html index b8cf37a1a..0731ec69d 100644 --- a/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html +++ b/docs/auto_examples/advanced_examples/plot_filterbank_csp_vs_csp.html @@ -781,7 +781,7 @@

Evaluationplt.show() -plot filterbank csp vs csp

Total running time of the script: ( 0 minutes 19.229 seconds)

-

Estimated memory usage: 280 MB

+plot filterbank csp vs csp

Total running time of the script: ( 0 minutes 13.093 seconds)

+

Estimated memory usage: 282 MB

@@ -837,8 +837,8 @@

Load Best Model ParameterTotal running time of the script: ( 0 minutes 19.902 seconds)

-

Estimated memory usage: 181 MB

+

Total running time of the script: ( 0 minutes 13.269 seconds)

+

Estimated memory usage: 162 MB

@@ -858,7 +860,7 @@

Advanced MNE PipelineAdvanced MNE PipelineAdvanced MNE Pipeline @@ -922,7 +924,7 @@

Numpy-based PipelineNumpy-based PipelineNumpy-based Pipeline @@ -976,8 +978,8 @@

Combining Resultsplt.show() -Algorithm comparison

Total running time of the script: ( 1 minutes 1.342 seconds)

-

Estimated memory usage: 212 MB

+Algorithm comparison

Total running time of the script: ( 0 minutes 47.092 seconds)

+

Estimated memory usage: 223 MB

-plot select electrodes resample

Total running time of the script: ( 0 minutes 53.121 seconds)

-

Estimated memory usage: 343 MB

+plot select electrodes resample

Total running time of the script: ( 0 minutes 39.853 seconds)

+

Estimated memory usage: 329 MB

-Algorithm comparison

Total running time of the script: ( 0 minutes 47.827 seconds)

-

Estimated memory usage: 230 MB

+Algorithm comparison

Total running time of the script: ( 0 minutes 39.331 seconds)

+

Estimated memory usage: 220 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 2 minutes 6.220 seconds)

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 57.530 seconds)

Estimated memory usage: 12 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 0 minutes 40.586 seconds)

-

Estimated memory usage: 181 MB

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 0 minutes 35.314 seconds)

+

Estimated memory usage: 162 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 9.570 seconds)

-

Estimated memory usage: 9 MB

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 7.927 seconds)

+

Estimated memory usage: 11 MB

-
2023-11-10 18:03:46,990 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
+
-Scores per dataset and algorithm
2023-11-10 18:04:22,062 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
+Scores per dataset and algorithm
2023-11-17 10:14:41,701 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
 /home/runner/work/moabb/moabb/moabb/analysis/plotting.py:70: UserWarning: The palette list has more values (6) than needed (2), which may not be intended.
   sea.stripplot(
 
-

Total running time of the script: ( 0 minutes 36.087 seconds)

-

Estimated memory usage: 321 MB

+

Total running time of the script: ( 0 minutes 27.809 seconds)

+

Estimated memory usage: 322 MB

The deep learning architectures implemented in MOABB are: @@ -1052,8 +1046,8 @@

ReferencesTotal running time of the script: ( 14 minutes 56.870 seconds)

-

Estimated memory usage: 696 MB

+

Total running time of the script: ( 9 minutes 1.381 seconds)

+

Estimated memory usage: 860 MB

The deep learning architectures implemented in MOABB using Braindecode are:

@@ -1472,8 +1466,8 @@

ReferencesTotal running time of the script: ( 6 minutes 4.501 seconds)

-

Estimated memory usage: 1071 MB

+

Total running time of the script: ( 5 minutes 28.797 seconds)

+

Estimated memory usage: 1016 MB

-

Total running time of the script: ( 2 minutes 16.514 seconds)

-

Estimated memory usage: 114 MB

+

Total running time of the script: ( 1 minutes 33.530 seconds)

+

Estimated memory usage: 49 MB

-dataset = Zhou2016, dataset = BNCI2014-001

Total running time of the script: ( 0 minutes 20.885 seconds)

-

Estimated memory usage: 244 MB

+dataset = Zhou2016, dataset = BNCI2014-001

Total running time of the script: ( 0 minutes 15.050 seconds)

+

Estimated memory usage: 231 MB

-plot cross subject ssvep

Total running time of the script: ( 0 minutes 18.216 seconds)

-

Estimated memory usage: 11 MB

+plot cross subject ssvep

Total running time of the script: ( 0 minutes 17.463 seconds)

+

Estimated memory usage: 21 MB

-
Using array cache: 0.45 seconds
-Using epochs cache: 0.65 seconds
-Using raw cache: 1.10 seconds
-Without cache: 3.19 seconds
+
Using array cache: 0.35 seconds
+Using epochs cache: 0.46 seconds
+Using raw cache: 0.75 seconds
+Without cache: 2.38 seconds
 

As you can see, using a raw cache is more than 5 times faster than @@ -934,8 +934,8 @@

Cleanup

-

Total running time of the script: ( 0 minutes 33.993 seconds)

-

Estimated memory usage: 248 MB

+

Total running time of the script: ( 0 minutes 26.189 seconds)

+

Estimated memory usage: 230 MB

-

Total running time of the script: ( 0 minutes 33.116 seconds)

-

Estimated memory usage: 637 MB

+

Total running time of the script: ( 0 minutes 23.155 seconds)

+

Estimated memory usage: 645 MB