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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 @@
Total running time of the script: ( 0 minutes 19.229 seconds)
-Estimated memory usage: 280 MB
+Total running time of the script: ( 0 minutes 13.093 seconds)
+Estimated memory usage: 282 MB
Download Python source code: plot_filterbank_csp_vs_csp.py
Estimated memory usage: 181 MB
+Total running time of the script: ( 0 minutes 13.269 seconds)
+Estimated memory usage: 162 MB
Download Python source code: plot_grid_search_withinsession.py
Total running time of the script: ( 1 minutes 1.342 seconds)
-Estimated memory usage: 212 MB
+Total running time of the script: ( 0 minutes 47.092 seconds)
+Estimated memory usage: 223 MB
Download Python source code: plot_mne_and_scikit_estimators.py
Total running time of the script: ( 0 minutes 53.121 seconds)
-Estimated memory usage: 343 MB
+Total running time of the script: ( 0 minutes 39.853 seconds)
+Estimated memory usage: 329 MB
Download Python source code: plot_select_electrodes_resample.py
Total running time of the script: ( 0 minutes 47.827 seconds)
-Estimated memory usage: 230 MB
+Total running time of the script: ( 0 minutes 39.331 seconds)
+Estimated memory usage: 220 MB
Download Python source code: plot_statistical_analysis.py
03:21.421 total execution time for auto_examples_advanced_examples files:
+02:32.639 total execution time for auto_examples_advanced_examples files:
MNE Epochs-based pipelines ( |
-01:01.342 |
-212.1 MB |
+00:47.092 |
+222.5 MB |
Select Electrodes and Resampling ( |
-00:53.121 |
-342.6 MB |
+00:39.853 |
+329.3 MB |
Statistical Analysis ( |
-00:47.827 |
-229.8 MB |
+00:39.331 |
+219.9 MB |
GridSearch within a session ( |
-00:19.902 |
-181.4 MB |
+00:13.269 |
+162.1 MB |
FilterBank CSP versus CSP ( |
-00:19.229 |
-279.6 MB |
+00:13.093 |
+281.6 MB |
Total running time of the script: ( 2 minutes 6.220 seconds)
+Total running time of the script: ( 1 minutes 57.530 seconds)
Estimated memory usage: 12 MB
02:06.220 total execution time for auto_examples_external files:
+01:57.530 total execution time for auto_examples_external files:
Within Session P300 with Learning Curve ( |
-02:06.220 |
-11.5 MB |
+01:57.530 |
+11.8 MB |
Total running time of the script: ( 0 minutes 40.586 seconds)
-Estimated memory usage: 181 MB
+Total running time of the script: ( 0 minutes 35.314 seconds)
+Estimated memory usage: 162 MB
Download Python source code: plot_learning_curve_motor_imagery.py
Total running time of the script: ( 1 minutes 9.570 seconds)
-Estimated memory usage: 9 MB
+Total running time of the script: ( 1 minutes 7.927 seconds)
+Estimated memory usage: 11 MB
Download Python source code: plot_learning_curve_p300.py
01:50.157 total execution time for auto_examples_learning_curve files:
+01:43.241 total execution time for auto_examples_learning_curve files:
Within Session P300 with Learning Curve ( |
-01:09.570 |
-9.2 MB |
+01:07.927 |
+11.4 MB |
Within Session Motor Imagery with Learning Curve ( |
-00:40.586 |
-181.4 MB |
+00:35.314 |
+162.0 MB |
2023-11-10 18:03:46,990 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
+2023-11-17 10:14:14,860 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
Zhou2016-WithinSession: 0%| | 0/4 [00:00<?, ?it/s]MNE_DATA is not already configured. It will be set to default location in the home directory - /home/runner/mne_data
All datasets will be downloaded to this location, if anything is already downloaded, please move manually to this location
@@ -735,96 +735,86 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkplt.show()
-2023-11-10 18:04:22,062 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
+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
Download Python source code: plot_benchmark.py
diff --git a/docs/auto_examples/plot_benchmark_DL.html b/docs/auto_examples/plot_benchmark_DL.html
index bfb77fa66..5f314adcd 100644
--- a/docs/auto_examples/plot_benchmark_DL.html
+++ b/docs/auto_examples/plot_benchmark_DL.html
@@ -689,98 +689,98 @@ Running the benchmarkRunning the benchmarkRunning the benchmark
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
Download Python source code: plot_benchmark_DL.py
diff --git a/docs/auto_examples/plot_benchmark_braindecode.html b/docs/auto_examples/plot_benchmark_braindecode.html
index 321121b70..2923f474b 100644
--- a/docs/auto_examples/plot_benchmark_braindecode.html
+++ b/docs/auto_examples/plot_benchmark_braindecode.html
@@ -738,61 +738,73 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmark
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
Download Python source code: plot_benchmark_braindecode.py
diff --git a/docs/auto_examples/plot_benchmark_grid_search.html b/docs/auto_examples/plot_benchmark_grid_search.html
index ccdb9fa89..79047fe06 100644
--- a/docs/auto_examples/plot_benchmark_grid_search.html
+++ b/docs/auto_examples/plot_benchmark_grid_search.html
@@ -700,7 +700,7 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmark
-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
Download Python source code: plot_benchmark_grid_search.py
diff --git a/docs/auto_examples/plot_braindecode.html b/docs/auto_examples/plot_braindecode.html
index dff935e2a..48f3c435f 100644
--- a/docs/auto_examples/plot_braindecode.html
+++ b/docs/auto_examples/plot_braindecode.html
@@ -854,27 +854,21 @@ EvaluationTotal running time of the script: ( 0 minutes 30.063 seconds)
-Estimated memory usage: 272 MB
+Total running time of the script: ( 0 minutes 18.903 seconds)
+Estimated memory usage: 210 MB
Download Python source code: plot_braindecode.py
diff --git a/docs/auto_examples/plot_cross_session_motor_imagery.html b/docs/auto_examples/plot_cross_session_motor_imagery.html
index 1278855f8..151fb3350 100644
--- a/docs/auto_examples/plot_cross_session_motor_imagery.html
+++ b/docs/auto_examples/plot_cross_session_motor_imagery.html
@@ -727,7 +727,7 @@ EvaluationTotal running time of the script: ( 0 minutes 13.456 seconds)
-Estimated memory usage: 232 MB
+Total running time of the script: ( 0 minutes 9.941 seconds)
+Estimated memory usage: 247 MB
Download Python source code: plot_cross_session_motor_imagery.py
diff --git a/docs/auto_examples/plot_cross_session_multiple_datasets.html b/docs/auto_examples/plot_cross_session_multiple_datasets.html
index 8dcbc4f3d..f4dbda39d 100644
--- a/docs/auto_examples/plot_cross_session_multiple_datasets.html
+++ b/docs/auto_examples/plot_cross_session_multiple_datasets.html
@@ -716,7 +716,7 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 20.885 seconds)
-Estimated memory usage: 244 MB
+Total running time of the script: ( 0 minutes 15.050 seconds)
+Estimated memory usage: 231 MB
Download Python source code: plot_cross_session_multiple_datasets.py
diff --git a/docs/auto_examples/plot_cross_subject_ssvep.html b/docs/auto_examples/plot_cross_subject_ssvep.html
index cd07165e2..be1655517 100644
--- a/docs/auto_examples/plot_cross_subject_ssvep.html
+++ b/docs/auto_examples/plot_cross_subject_ssvep.html
@@ -726,24 +726,25 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 18.216 seconds)
-Estimated memory usage: 11 MB
+Total running time of the script: ( 0 minutes 17.463 seconds)
+Estimated memory usage: 21 MB
Download Python source code: plot_cross_subject_ssvep.py
diff --git a/docs/auto_examples/plot_disk_cache.html b/docs/auto_examples/plot_disk_cache.html
index b1b558dee..4f2f9cd5c 100644
--- a/docs/auto_examples/plot_disk_cache.html
+++ b/docs/auto_examples/plot_disk_cache.html
@@ -877,10 +877,10 @@ Time comparisonprint(f"Without cache: {t_nocache:.2f} seconds")
-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
Download Python source code: plot_disk_cache.py
diff --git a/docs/auto_examples/plot_explore_paradigm.html b/docs/auto_examples/plot_explore_paradigm.html
index c47e24f59..9a3348456 100644
--- a/docs/auto_examples/plot_explore_paradigm.html
+++ b/docs/auto_examples/plot_explore_paradigm.html
@@ -1294,8 +1294,8 @@ LeftRight MotorImagery
-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
Download Python source code: plot_explore_paradigm.py
diff --git a/docs/auto_examples/plot_fixed_interval_windows.html b/docs/auto_examples/plot_fixed_interval_windows.html
index e93f5faa3..3e65b0508 100644
--- a/docs/auto_examples/plot_fixed_interval_windows.html
+++ b/docs/auto_examples/plot_fixed_interval_windows.html
@@ -749,8 +749,8 @@ Print the events
We can see that the epochs were effectively created at a fixed interval
every 50 seconds between 300 and 900 seconds, and ignoring
the original events of the dataset.
-Total running time of the script: ( 0 minutes 9.644 seconds)
-Estimated memory usage: 220 MB
+Total running time of the script: ( 0 minutes 7.371 seconds)
+Estimated memory usage: 156 MB
Download Python source code: plot_fixed_interval_windows.py
diff --git a/docs/auto_examples/plot_within_session_p300.html b/docs/auto_examples/plot_within_session_p300.html
index 7f1c85782..372c1bea7 100644
--- a/docs/auto_examples/plot_within_session_p300.html
+++ b/docs/auto_examples/plot_within_session_p300.html
@@ -687,34 +687,30 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 28.767 seconds)
+Total running time of the script: ( 0 minutes 25.794 seconds)
Estimated memory usage: 10 MB
diff --git a/docs/auto_examples/plot_within_session_ssvep.html b/docs/auto_examples/plot_within_session_ssvep.html
index 4fccc1c5c..f65c3403c 100644
--- a/docs/auto_examples/plot_within_session_ssvep.html
+++ b/docs/auto_examples/plot_within_session_ssvep.html
@@ -738,7 +738,7 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 35.387 seconds)
-Estimated memory usage: 9 MB
+Total running time of the script: ( 0 minutes 33.620 seconds)
+Estimated memory usage: 10 MB
Download Python source code: plot_within_session_ssvep.py
diff --git a/docs/auto_examples/sg_execution_times.html b/docs/auto_examples/sg_execution_times.html
index eb5988465..5e8bf771f 100644
--- a/docs/auto_examples/sg_execution_times.html
+++ b/docs/auto_examples/sg_execution_times.html
@@ -417,60 +417,60 @@
Computation times#
-27:37.501 total execution time for auto_examples files:
+19:29.004 total execution time for auto_examples files: