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b/docs/_images/sphx_glr_plot_within_session_ssvep_002.png index f7cc51ec..5953970e 100644 Binary files a/docs/_images/sphx_glr_plot_within_session_ssvep_002.png and b/docs/_images/sphx_glr_plot_within_session_ssvep_002.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 6760b0ae..7412e7b7 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 13.411 seconds)
-Estimated memory usage: 432 MB
+Total running time of the script: ( 0 minutes 12.954 seconds)
+Estimated memory usage: 413 MB
Download Python source code: plot_filterbank_csp_vs_csp.py
Estimated memory usage: 313 MB
+Total running time of the script: ( 0 minutes 13.069 seconds)
+Estimated memory usage: 276 MB
Download Python source code: plot_grid_search_withinsession.py
Total running time of the script: ( 0 minutes 47.717 seconds)
-Estimated memory usage: 328 MB
+Total running time of the script: ( 0 minutes 47.392 seconds)
+Estimated memory usage: 322 MB
Download Python source code: plot_mne_and_scikit_estimators.py
Total running time of the script: ( 0 minutes 40.838 seconds)
-Estimated memory usage: 473 MB
+Total running time of the script: ( 0 minutes 40.763 seconds)
+Estimated memory usage: 421 MB
Download Python source code: plot_select_electrodes_resample.py
Total running time of the script: ( 0 minutes 42.782 seconds)
-Estimated memory usage: 365 MB
+Total running time of the script: ( 0 minutes 40.294 seconds)
+Estimated memory usage: 328 MB
Download Python source code: plot_statistical_analysis.py
02:37.794 total execution time for auto_examples_advanced_examples files:
+02:34.472 total execution time for auto_examples_advanced_examples files:
MNE Epochs-based pipelines ( |
-00:47.717 |
-327.9 MB |
+00:47.392 |
+321.7 MB |
Statistical Analysis ( |
-00:42.782 |
-365.0 MB |
+||
Select Electrodes and Resampling ( |
+00:40.763 |
+421.5 MB |
||
Select Electrodes and Resampling ( |
-00:40.838 |
-472.8 MB |
+||
Statistical Analysis ( |
+00:40.294 |
+328.1 MB |
||
FilterBank CSP versus CSP ( |
-00:13.411 |
-431.7 MB |
+||
GridSearch within a session ( |
+00:13.069 |
+275.8 MB |
||
GridSearch within a session ( |
-00:13.047 |
-312.7 MB |
+||
FilterBank CSP versus CSP ( |
+00:12.954 |
+412.6 MB |
Total running time of the script: ( 1 minutes 58.627 seconds)
-Estimated memory usage: 14 MB
+Total running time of the script: ( 1 minutes 57.892 seconds)
+Estimated memory usage: 17 MB
Download Python source code: plot_learning_curve_p300_external.py
01:58.627 total execution time for auto_examples_external files:
+01:57.892 total execution time for auto_examples_external files:
Within Session P300 with Learning Curve ( |
-01:58.627 |
-14.4 MB |
+01:57.892 |
+17.2 MB |
Total running time of the script: ( 0 minutes 36.107 seconds)
-Estimated memory usage: 301 MB
+Total running time of the script: ( 0 minutes 35.638 seconds)
+Estimated memory usage: 264 MB
Download Python source code: plot_learning_curve_motor_imagery.py
Total running time of the script: ( 1 minutes 8.352 seconds)
+Total running time of the script: ( 1 minutes 7.099 seconds)
Estimated memory usage: 11 MB
01:44.458 total execution time for auto_examples_learning_curve files:
+01:42.738 total execution time for auto_examples_learning_curve files:
Within Session P300 with Learning Curve ( |
-01:08.352 |
-11.1 MB |
+01:07.099 |
+11.2 MB |
Within Session Motor Imagery with Learning Curve ( |
-00:36.107 |
-300.7 MB |
+00:35.638 |
+263.8 MB |
2024-04-04 11:49:54,537 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
+2024-04-10 16:12:14,034 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
@@ -735,108 +735,110 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkplt.show()
-2024-04-04 11:50:22,996 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
+2024-04-10 16:12:42,689 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 29.438 seconds)
-Estimated memory usage: 323 MB
+Total running time of the script: ( 0 minutes 29.615 seconds)
+Estimated memory usage: 326 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 a0301adb..f73c72a3 100644
--- a/docs/auto_examples/plot_benchmark_DL.html
+++ b/docs/auto_examples/plot_benchmark_DL.html
@@ -689,11 +689,11 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmark
The deep learning architectures implemented in MOABB are:
@@ -1062,8 +1054,8 @@
ReferencesTotal running time of the script: ( 9 minutes 22.796 seconds)
-Estimated memory usage: 803 MB
+Total running time of the script: ( 9 minutes 21.415 seconds)
+Estimated memory usage: 870 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 6b4f5475..99b5fa10 100644
--- a/docs/auto_examples/plot_benchmark_braindecode.html
+++ b/docs/auto_examples/plot_benchmark_braindecode.html
@@ -739,68 +739,68 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmark
The deep learning architectures implemented in MOABB using Braindecode are:
@@ -1473,8 +1467,8 @@ ReferencesTotal running time of the script: ( 3 minutes 27.112 seconds)
-Estimated memory usage: 612 MB
+Total running time of the script: ( 3 minutes 21.914 seconds)
+Estimated memory usage: 575 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 f006cc0d..e6639723 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: ( 1 minutes 33.732 seconds)
-Estimated memory usage: 175 MB
+Total running time of the script: ( 1 minutes 33.737 seconds)
+Estimated memory usage: 218 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 904860b1..f9fbcce1 100644
--- a/docs/auto_examples/plot_braindecode.html
+++ b/docs/auto_examples/plot_braindecode.html
@@ -839,30 +839,30 @@ EvaluationTotal running time of the script: ( 0 minutes 14.466 seconds)
-Estimated memory usage: 410 MB
+Total running time of the script: ( 0 minutes 14.103 seconds)
+Estimated memory usage: 373 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 7ed049d5..97633da4 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 10.069 seconds)
-Estimated memory usage: 392 MB
+Total running time of the script: ( 0 minutes 9.676 seconds)
+Estimated memory usage: 355 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 97cfb9c3..907d0415 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 15.788 seconds)
-Estimated memory usage: 358 MB
+Total running time of the script: ( 0 minutes 15.109 seconds)
+Estimated memory usage: 326 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 be16c9d0..18f1c5f9 100644
--- a/docs/auto_examples/plot_cross_subject_ssvep.html
+++ b/docs/auto_examples/plot_cross_subject_ssvep.html
@@ -726,31 +726,45 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 16.509 seconds)
-Estimated memory usage: 21 MB
+Total running time of the script: ( 0 minutes 20.128 seconds)
+Estimated memory usage: 24 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 cff6002d..d68f969d 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: 0.33 seconds
-Using epochs cache: 0.46 seconds
-Using raw cache: 0.76 seconds
-Without cache: 2.32 seconds
+Using array cache: 0.30 seconds
+Using epochs cache: 0.44 seconds
+Using raw cache: 0.72 seconds
+Without cache: 2.35 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 27.148 seconds)
-Estimated memory usage: 301 MB
+Total running time of the script: ( 0 minutes 26.579 seconds)
+Estimated memory usage: 329 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 ba41caf1..590b1ac3 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 22.974 seconds)
-Estimated memory usage: 851 MB
+Total running time of the script: ( 0 minutes 21.310 seconds)
+Estimated memory usage: 754 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 36a5c919..519da437 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 7.158 seconds)
-Estimated memory usage: 281 MB
+Total running time of the script: ( 0 minutes 6.743 seconds)
+Estimated memory usage: 272 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 bbfc1b3f..c2225a33 100644
--- a/docs/auto_examples/plot_within_session_p300.html
+++ b/docs/auto_examples/plot_within_session_p300.html
@@ -687,7 +687,7 @@ Evaluationplt.show()
-Total running time of the script: ( 0 minutes 26.764 seconds)
-Estimated memory usage: 14 MB
+Total running time of the script: ( 0 minutes 25.878 seconds)
+Estimated memory usage: 16 MB
Download Python source code: plot_within_session_p300.py
diff --git a/docs/auto_examples/plot_within_session_ssvep.html b/docs/auto_examples/plot_within_session_ssvep.html
index 7df1ad07..49339cfd 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 35.920 seconds)
-Estimated memory usage: 10 MB
+Total running time of the script: ( 0 minutes 35.101 seconds)
+Estimated memory usage: 9 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 2b3e5226..143b92a9 100644
--- a/docs/auto_examples/sg_execution_times.html
+++ b/docs/auto_examples/sg_execution_times.html
@@ -417,60 +417,60 @@
Computation times#
-17:49.873 total execution time for auto_examples files:
+17:41.307 total execution time for auto_examples files: