diff --git a/docs/_downloads/004be3e9d1a7fe3f376ebea76a062f80/4_adding_a_dataset.py b/docs/_downloads/004be3e9d1a7fe3f376ebea76a062f80/4_adding_a_dataset.py index af2231d7..43714356 100644 --- a/docs/_downloads/004be3e9d1a7fe3f376ebea76a062f80/4_adding_a_dataset.py +++ b/docs/_downloads/004be3e9d1a7fe3f376ebea76a062f80/4_adding_a_dataset.py @@ -3,6 +3,7 @@ Tutorial 4: Creating a dataset class ==================================== """ + # Authors: Pedro L. C. Rodrigues, Sylvain Chevallier # # https://github.com/plcrodrigues/Workshop-MOABB-BCI-Graz-2019 diff --git a/docs/_downloads/0621540f2a81072e792d3fe5436855e1/noplot_phmd_ml_spectrum.ipynb b/docs/_downloads/0621540f2a81072e792d3fe5436855e1/noplot_phmd_ml_spectrum.ipynb index 5db6b647..74b21d58 100644 --- a/docs/_downloads/0621540f2a81072e792d3fe5436855e1/noplot_phmd_ml_spectrum.ipynb +++ b/docs/_downloads/0621540f2a81072e792d3fe5436855e1/noplot_phmd_ml_spectrum.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip index 89781007..52830fba 100644 Binary files a/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip and b/docs/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip differ diff --git a/docs/_downloads/09c597e028c1574e907e103b3db53254/plot_within_session_ssvep.py b/docs/_downloads/09c597e028c1574e907e103b3db53254/plot_within_session_ssvep.py index 9ee91f20..2f136615 100644 --- a/docs/_downloads/09c597e028c1574e907e103b3db53254/plot_within_session_ssvep.py +++ b/docs/_downloads/09c597e028c1574e907e103b3db53254/plot_within_session_ssvep.py @@ -10,6 +10,7 @@ pipeline using a 5-fold cross-validation. The reported metric (here, accuracy) is the average of all fold. """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/11d7e3106c779d2d16f2ad6e45bde649/plot_braindecode.ipynb b/docs/_downloads/11d7e3106c779d2d16f2ad6e45bde649/plot_braindecode.ipynb index acab4f9c..e71b2d3a 100644 --- a/docs/_downloads/11d7e3106c779d2d16f2ad6e45bde649/plot_braindecode.ipynb +++ b/docs/_downloads/11d7e3106c779d2d16f2ad6e45bde649/plot_braindecode.ipynb @@ -125,7 +125,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/14eea0f23180ed6c51f0ac41b2f0162e/plot_benchmark_DL.py b/docs/_downloads/14eea0f23180ed6c51f0ac41b2f0162e/plot_benchmark_DL.py index 76e7b4d5..032ba81c 100644 --- a/docs/_downloads/14eea0f23180ed6c51f0ac41b2f0162e/plot_benchmark_DL.py +++ b/docs/_downloads/14eea0f23180ed6c51f0ac41b2f0162e/plot_benchmark_DL.py @@ -7,6 +7,7 @@ For this example, we will use only one dataset to keep the computation time low, but this benchmark is designed to easily scale to many datasets. """ + # Authors: Igor Carrara # # License: BSD (3-clause) diff --git a/docs/_downloads/1cb0649d22103248d85dfccb151aabae/plot_disk_cache.ipynb b/docs/_downloads/1cb0649d22103248d85dfccb151aabae/plot_disk_cache.ipynb index 5eb10384..bbc52fad 100644 --- a/docs/_downloads/1cb0649d22103248d85dfccb151aabae/plot_disk_cache.ipynb +++ b/docs/_downloads/1cb0649d22103248d85dfccb151aabae/plot_disk_cache.ipynb @@ -255,7 +255,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/1e19389137690794e1345c2b750ca301/noplot_bids_conversion.ipynb b/docs/_downloads/1e19389137690794e1345c2b750ca301/noplot_bids_conversion.ipynb index c8a4e26d..54644445 100644 --- a/docs/_downloads/1e19389137690794e1345c2b750ca301/noplot_bids_conversion.ipynb +++ b/docs/_downloads/1e19389137690794e1345c2b750ca301/noplot_bids_conversion.ipynb @@ -161,7 +161,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/1eb996e21dc5546952cdf5d77959e6ad/plot_learning_curve_p300_external.py b/docs/_downloads/1eb996e21dc5546952cdf5d77959e6ad/plot_learning_curve_p300_external.py index c30a76da..82a1444b 100644 --- a/docs/_downloads/1eb996e21dc5546952cdf5d77959e6ad/plot_learning_curve_p300_external.py +++ b/docs/_downloads/1eb996e21dc5546952cdf5d77959e6ad/plot_learning_curve_p300_external.py @@ -16,6 +16,7 @@ We will use the P300 paradigm, which uses the AUC as metric. """ + # Authors: Jan Sosulski # # License: BSD (3-clause) diff --git a/docs/_downloads/1fae02a0d2f8a8b38412328b11979e03/example_codecarbon.py b/docs/_downloads/1fae02a0d2f8a8b38412328b11979e03/example_codecarbon.py index 6cdef47f..eaffaa26 100644 --- a/docs/_downloads/1fae02a0d2f8a8b38412328b11979e03/example_codecarbon.py +++ b/docs/_downloads/1fae02a0d2f8a8b38412328b11979e03/example_codecarbon.py @@ -11,6 +11,7 @@ generation, the results is computed on a local cluster but could be easily replicated on your infrastructure. """ + # Authors: Igor Carrara # Bruno Aristimunha # diff --git a/docs/_downloads/225d2b2bd0960a1fa6a57be5e1838af9/plot_benchmark.ipynb b/docs/_downloads/225d2b2bd0960a1fa6a57be5e1838af9/plot_benchmark.ipynb index be1efad9..5add2d09 100644 --- a/docs/_downloads/225d2b2bd0960a1fa6a57be5e1838af9/plot_benchmark.ipynb +++ b/docs/_downloads/225d2b2bd0960a1fa6a57be5e1838af9/plot_benchmark.ipynb @@ -118,7 +118,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/284aff1e2748c45a1efdc5d7071c4a77/plot_benchmark_braindecode.py b/docs/_downloads/284aff1e2748c45a1efdc5d7071c4a77/plot_benchmark_braindecode.py index 5e261fe1..3b69b56b 100644 --- a/docs/_downloads/284aff1e2748c45a1efdc5d7071c4a77/plot_benchmark_braindecode.py +++ b/docs/_downloads/284aff1e2748c45a1efdc5d7071c4a77/plot_benchmark_braindecode.py @@ -7,6 +7,7 @@ For this example, we will use only 2 datasets to keep the computation time low, but this benchmark is designed to easily scale to many datasets. """ + # Authors: Igor Carrara # Bruno Aristimunha # Sylvain Chevallier diff --git a/docs/_downloads/2a0ca02a0f1b91ece5afbc9bdeceffe4/plot_fixed_interval_windows.ipynb b/docs/_downloads/2a0ca02a0f1b91ece5afbc9bdeceffe4/plot_fixed_interval_windows.ipynb index 37ffc358..56447cef 100644 --- a/docs/_downloads/2a0ca02a0f1b91ece5afbc9bdeceffe4/plot_fixed_interval_windows.ipynb +++ b/docs/_downloads/2a0ca02a0f1b91ece5afbc9bdeceffe4/plot_fixed_interval_windows.ipynb @@ -172,7 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/321fdb18266d890de5e5f577f03c2c73/plot_within_session_p300.ipynb b/docs/_downloads/321fdb18266d890de5e5f577f03c2c73/plot_within_session_p300.ipynb index 6a559b38..e10a3c3e 100644 --- a/docs/_downloads/321fdb18266d890de5e5f577f03c2c73/plot_within_session_p300.ipynb +++ b/docs/_downloads/321fdb18266d890de5e5f577f03c2c73/plot_within_session_p300.ipynb @@ -136,7 +136,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/33bee7d7204a7cb56293bd1d838b63f8/plot_statistical_analysis.ipynb b/docs/_downloads/33bee7d7204a7cb56293bd1d838b63f8/plot_statistical_analysis.ipynb index 740c2a85..eb692ea3 100644 --- a/docs/_downloads/33bee7d7204a7cb56293bd1d838b63f8/plot_statistical_analysis.ipynb +++ b/docs/_downloads/33bee7d7204a7cb56293bd1d838b63f8/plot_statistical_analysis.ipynb @@ -172,7 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/3492da53de2fcbbc267c5e45e1d04fb9/plot_learning_curve_p300.ipynb b/docs/_downloads/3492da53de2fcbbc267c5e45e1d04fb9/plot_learning_curve_p300.ipynb index 1e14c09b..f07388ab 100644 --- a/docs/_downloads/3492da53de2fcbbc267c5e45e1d04fb9/plot_learning_curve_p300.ipynb +++ b/docs/_downloads/3492da53de2fcbbc267c5e45e1d04fb9/plot_learning_curve_p300.ipynb @@ -118,7 +118,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/38abfe5b8b42dcb9de08824fd90d346b/plot_cross_subject_ssvep.ipynb b/docs/_downloads/38abfe5b8b42dcb9de08824fd90d346b/plot_cross_subject_ssvep.ipynb index 2d401b72..5814e615 100644 --- a/docs/_downloads/38abfe5b8b42dcb9de08824fd90d346b/plot_cross_subject_ssvep.ipynb +++ b/docs/_downloads/38abfe5b8b42dcb9de08824fd90d346b/plot_cross_subject_ssvep.ipynb @@ -226,7 +226,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/39844aaaee383c2803c6ac93e64037d5/plot_within_session_p300.py b/docs/_downloads/39844aaaee383c2803c6ac93e64037d5/plot_within_session_p300.py index 65ceed6b..5939879d 100644 --- a/docs/_downloads/39844aaaee383c2803c6ac93e64037d5/plot_within_session_p300.py +++ b/docs/_downloads/39844aaaee383c2803c6ac93e64037d5/plot_within_session_p300.py @@ -14,6 +14,7 @@ We will use the P300 paradigm, which uses the AUC as metric. """ + # Authors: Pedro Rodrigues # # License: BSD (3-clause) diff --git a/docs/_downloads/3bb6d35e266c94de44c44ec75aa9d550/plot_mne_and_scikit_estimators.py b/docs/_downloads/3bb6d35e266c94de44c44ec75aa9d550/plot_mne_and_scikit_estimators.py index d6bb98e6..4bfa5cf9 100644 --- a/docs/_downloads/3bb6d35e266c94de44c44ec75aa9d550/plot_mne_and_scikit_estimators.py +++ b/docs/_downloads/3bb6d35e266c94de44c44ec75aa9d550/plot_mne_and_scikit_estimators.py @@ -13,6 +13,7 @@ - XDAWN extended covariance and LR on tangent space, based on Numpy """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/3f1909c085169067146e835f0f34191d/noplot_tutorial_5_build_a_custom_dataset.py b/docs/_downloads/3f1909c085169067146e835f0f34191d/noplot_tutorial_5_build_a_custom_dataset.py index 7e5fcd98..24c7ee9a 100644 --- a/docs/_downloads/3f1909c085169067146e835f0f34191d/noplot_tutorial_5_build_a_custom_dataset.py +++ b/docs/_downloads/3f1909c085169067146e835f0f34191d/noplot_tutorial_5_build_a_custom_dataset.py @@ -3,6 +3,7 @@ Tutorial 5: Creating a dataset class ==================================== """ + # Author: Gregoire Cattan # # https://github.com/plcrodrigues/Workshop-MOABB-BCI-Graz-2019 diff --git a/docs/_downloads/45332a7ce05680b6eb2282c04cab7d5b/plot_cross_session_multiple_datasets.ipynb b/docs/_downloads/45332a7ce05680b6eb2282c04cab7d5b/plot_cross_session_multiple_datasets.ipynb index 4d3507fa..bac40dbe 100644 --- a/docs/_downloads/45332a7ce05680b6eb2282c04cab7d5b/plot_cross_session_multiple_datasets.ipynb +++ b/docs/_downloads/45332a7ce05680b6eb2282c04cab7d5b/plot_cross_session_multiple_datasets.ipynb @@ -154,7 +154,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/47ae966f3ab36fc8884cda73c38e648d/plot_benchmark_grid_search.ipynb b/docs/_downloads/47ae966f3ab36fc8884cda73c38e648d/plot_benchmark_grid_search.ipynb index e366e6d2..901ce00a 100644 --- a/docs/_downloads/47ae966f3ab36fc8884cda73c38e648d/plot_benchmark_grid_search.ipynb +++ b/docs/_downloads/47ae966f3ab36fc8884cda73c38e648d/plot_benchmark_grid_search.ipynb @@ -82,7 +82,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/4819137c12db5666618aa0e7e8603bce/noplot_tutorial_5_build_a_custom_dataset.ipynb b/docs/_downloads/4819137c12db5666618aa0e7e8603bce/noplot_tutorial_5_build_a_custom_dataset.ipynb index 27211557..345830d0 100644 --- a/docs/_downloads/4819137c12db5666618aa0e7e8603bce/noplot_tutorial_5_build_a_custom_dataset.ipynb +++ b/docs/_downloads/4819137c12db5666618aa0e7e8603bce/noplot_tutorial_5_build_a_custom_dataset.ipynb @@ -118,7 +118,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/4c45605b7f9e2012cf86c10fa0f2ed72/plot_filterbank_csp_vs_csp.py b/docs/_downloads/4c45605b7f9e2012cf86c10fa0f2ed72/plot_filterbank_csp_vs_csp.py index a5708c26..b982073d 100644 --- a/docs/_downloads/4c45605b7f9e2012cf86c10fa0f2ed72/plot_filterbank_csp_vs_csp.py +++ b/docs/_downloads/4c45605b7f9e2012cf86c10fa0f2ed72/plot_filterbank_csp_vs_csp.py @@ -6,6 +6,7 @@ This example show a comparison of CSP versus FilterBank CSP on the very popular dataset 2a from the BCI competition IV. """ + # Authors: Alexandre Barachant # # License: BSD (3-clause) diff --git a/docs/_downloads/4ecaaa7a22e7ba0d94b874867e072727/tutorial_2_using_mulitple_datasets.ipynb b/docs/_downloads/4ecaaa7a22e7ba0d94b874867e072727/tutorial_2_using_mulitple_datasets.ipynb index f7f7a0ae..7f5b32f0 100644 --- a/docs/_downloads/4ecaaa7a22e7ba0d94b874867e072727/tutorial_2_using_mulitple_datasets.ipynb +++ b/docs/_downloads/4ecaaa7a22e7ba0d94b874867e072727/tutorial_2_using_mulitple_datasets.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/51a1867bba0844057530c56f925fbc95/plot_benchmark_DL.ipynb b/docs/_downloads/51a1867bba0844057530c56f925fbc95/plot_benchmark_DL.ipynb index 36183a9f..1a0ccfb8 100644 --- a/docs/_downloads/51a1867bba0844057530c56f925fbc95/plot_benchmark_DL.ipynb +++ b/docs/_downloads/51a1867bba0844057530c56f925fbc95/plot_benchmark_DL.ipynb @@ -89,7 +89,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/5303bff802560c798e898bab8eb895a3/noplot_vr_pc_p300_different_epoch_size.py b/docs/_downloads/5303bff802560c798e898bab8eb895a3/noplot_vr_pc_p300_different_epoch_size.py index 4c5fb6a6..222a668e 100644 --- a/docs/_downloads/5303bff802560c798e898bab8eb895a3/noplot_vr_pc_p300_different_epoch_size.py +++ b/docs/_downloads/5303bff802560c798e898bab8eb895a3/noplot_vr_pc_p300_different_epoch_size.py @@ -11,6 +11,7 @@ This example demonstrates the use of `get_block_repetition`, which allows to specify the experimental blocks and repetitions for analysis. """ + # Authors: Pedro Rodrigues # Modified by: Gregoire Cattan # License: BSD (3-clause) diff --git a/docs/_downloads/5459b5c2be76a529eb282ae496a50415/plot_cross_subject_ssvep.py b/docs/_downloads/5459b5c2be76a529eb282ae496a50415/plot_cross_subject_ssvep.py index 20dd3505..5feffeb2 100644 --- a/docs/_downloads/5459b5c2be76a529eb282ae496a50415/plot_cross_subject_ssvep.py +++ b/docs/_downloads/5459b5c2be76a529eb282ae496a50415/plot_cross_subject_ssvep.py @@ -12,6 +12,7 @@ We will use the SSVEP paradigm, which uses the AUC as metric. """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/55cdcc1a57595324be0a4f77a5294187/plot_Getting_Started.py b/docs/_downloads/55cdcc1a57595324be0a4f77a5294187/plot_Getting_Started.py index 97539f39..c455c036 100644 --- a/docs/_downloads/55cdcc1a57595324be0a4f77a5294187/plot_Getting_Started.py +++ b/docs/_downloads/55cdcc1a57595324be0a4f77a5294187/plot_Getting_Started.py @@ -9,6 +9,7 @@ next tutorial. """ + # Authors: Vinay Jayaram # # License: BSD (3-clause) diff --git a/docs/_downloads/5657e54b8c692376a881117a99de998e/plot_benchmark.py b/docs/_downloads/5657e54b8c692376a881117a99de998e/plot_benchmark.py index 9430b174..4d39459c 100644 --- a/docs/_downloads/5657e54b8c692376a881117a99de998e/plot_benchmark.py +++ b/docs/_downloads/5657e54b8c692376a881117a99de998e/plot_benchmark.py @@ -8,6 +8,7 @@ dataset to keep the computation time low, but this benchmark is designed to easily scale to many datasets. """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/5b1f506cd53838de0dd70e569a36f198/plot_learning_curve_motor_imagery.ipynb b/docs/_downloads/5b1f506cd53838de0dd70e569a36f198/plot_learning_curve_motor_imagery.ipynb index 56c19dae..c27dbaa0 100644 --- a/docs/_downloads/5b1f506cd53838de0dd70e569a36f198/plot_learning_curve_motor_imagery.ipynb +++ b/docs/_downloads/5b1f506cd53838de0dd70e569a36f198/plot_learning_curve_motor_imagery.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/5c05a4e8c08dd8d574a1e608b6e51c83/tutorial_3_benchmarking_multiple_pipelines.ipynb b/docs/_downloads/5c05a4e8c08dd8d574a1e608b6e51c83/tutorial_3_benchmarking_multiple_pipelines.ipynb index 0775df51..71c3d911 100644 --- a/docs/_downloads/5c05a4e8c08dd8d574a1e608b6e51c83/tutorial_3_benchmarking_multiple_pipelines.ipynb +++ b/docs/_downloads/5c05a4e8c08dd8d574a1e608b6e51c83/tutorial_3_benchmarking_multiple_pipelines.ipynb @@ -107,7 +107,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/657e87726c4d308a5b176dbb4277773e/plot_select_electrodes_resample.ipynb b/docs/_downloads/657e87726c4d308a5b176dbb4277773e/plot_select_electrodes_resample.ipynb index aebe0576..8c32dd2a 100644 --- a/docs/_downloads/657e87726c4d308a5b176dbb4277773e/plot_select_electrodes_resample.ipynb +++ b/docs/_downloads/657e87726c4d308a5b176dbb4277773e/plot_select_electrodes_resample.ipynb @@ -136,7 +136,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip index 8db740e8..c8560781 100644 Binary files a/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip and b/docs/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip differ diff --git a/docs/_downloads/73deabcc8228302a2b46b9595661aedc/noplot_vr_pc_p300_different_epoch_size.ipynb b/docs/_downloads/73deabcc8228302a2b46b9595661aedc/noplot_vr_pc_p300_different_epoch_size.ipynb index d7c22be4..2332cb34 100644 --- a/docs/_downloads/73deabcc8228302a2b46b9595661aedc/noplot_vr_pc_p300_different_epoch_size.ipynb +++ b/docs/_downloads/73deabcc8228302a2b46b9595661aedc/noplot_vr_pc_p300_different_epoch_size.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/744775bda3ec8d62d828dcc3cff768f5/load_model.ipynb b/docs/_downloads/744775bda3ec8d62d828dcc3cff768f5/load_model.ipynb index 79d95539..a93771f6 100644 --- a/docs/_downloads/744775bda3ec8d62d828dcc3cff768f5/load_model.ipynb +++ b/docs/_downloads/744775bda3ec8d62d828dcc3cff768f5/load_model.ipynb @@ -118,7 +118,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/7f676ecf06fb47e9238e23dd03876176/plot_benchmark_braindecode.ipynb b/docs/_downloads/7f676ecf06fb47e9238e23dd03876176/plot_benchmark_braindecode.ipynb index 5a532211..3d9fca61 100644 --- a/docs/_downloads/7f676ecf06fb47e9238e23dd03876176/plot_benchmark_braindecode.ipynb +++ b/docs/_downloads/7f676ecf06fb47e9238e23dd03876176/plot_benchmark_braindecode.ipynb @@ -89,7 +89,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/82e3e6cb009bb9a9c444c6cff254cea8/plot_cross_session_motor_imagery.py b/docs/_downloads/82e3e6cb009bb9a9c444c6cff254cea8/plot_cross_session_motor_imagery.py index 61c0e305..33ce516f 100644 --- a/docs/_downloads/82e3e6cb009bb9a9c444c6cff254cea8/plot_cross_session_motor_imagery.py +++ b/docs/_downloads/82e3e6cb009bb9a9c444c6cff254cea8/plot_cross_session_motor_imagery.py @@ -19,6 +19,7 @@ is trained on every other session and performance are evaluated on the current session. """ + # Authors: Alexandre Barachant # Sylvain Chevallier # diff --git a/docs/_downloads/833e0bb5b511f838d653ea6df7213ca7/plot_learning_curve_motor_imagery.py b/docs/_downloads/833e0bb5b511f838d653ea6df7213ca7/plot_learning_curve_motor_imagery.py index 7492d909..eaa8491c 100644 --- a/docs/_downloads/833e0bb5b511f838d653ea6df7213ca7/plot_learning_curve_motor_imagery.py +++ b/docs/_downloads/833e0bb5b511f838d653ea6df7213ca7/plot_learning_curve_motor_imagery.py @@ -14,6 +14,7 @@ We will use the LeftRightImagery paradigm. This will restrict the analysis to two classes (left- vs right-hand) and use AUC as metric. """ + # Original author: Alexandre Barachant # Learning curve modification: Jan Sosulski # diff --git a/docs/_downloads/83c876b60654b8a0b9ebaf6714ef3607/plot_select_electrodes_resample.py b/docs/_downloads/83c876b60654b8a0b9ebaf6714ef3607/plot_select_electrodes_resample.py index ef408cb4..c326b125 100644 --- a/docs/_downloads/83c876b60654b8a0b9ebaf6714ef3607/plot_select_electrodes_resample.py +++ b/docs/_downloads/83c876b60654b8a0b9ebaf6714ef3607/plot_select_electrodes_resample.py @@ -8,6 +8,7 @@ utility function to select common electrodes shared between datasets. This tutorial demonstrates how to use this functionality. """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/8fed52c2a57f02454c33ebb464a390de/load_model.py b/docs/_downloads/8fed52c2a57f02454c33ebb464a390de/load_model.py index 4d96ae51..2593fd0e 100644 --- a/docs/_downloads/8fed52c2a57f02454c33ebb464a390de/load_model.py +++ b/docs/_downloads/8fed52c2a57f02454c33ebb464a390de/load_model.py @@ -5,6 +5,7 @@ This example shows how to use load the pretrained pipeline in MOABB. """ + # Authors: Igor Carrara # # License: BSD (3-clause) diff --git a/docs/_downloads/93f59072dcc594921985afeb50d4cf2b/changing_download_directory.py b/docs/_downloads/93f59072dcc594921985afeb50d4cf2b/changing_download_directory.py index 095ac2c3..b42bc2b9 100644 --- a/docs/_downloads/93f59072dcc594921985afeb50d4cf2b/changing_download_directory.py +++ b/docs/_downloads/93f59072dcc594921985afeb50d4cf2b/changing_download_directory.py @@ -5,6 +5,7 @@ This is a minimal example to demonstrate how to change the default data download directory to a custom path/location. """ + # Authors: Divyesh Narayanan # # License: BSD (3-clause) diff --git a/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip b/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip index 19cac1df..e4b897fb 100644 Binary files a/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip and b/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip differ diff --git a/docs/_downloads/9ab89018120aed26b30f3efdfdef47fe/noplot_bids_conversion.py b/docs/_downloads/9ab89018120aed26b30f3efdfdef47fe/noplot_bids_conversion.py index 0bf727f4..b5bda364 100644 --- a/docs/_downloads/9ab89018120aed26b30f3efdfdef47fe/noplot_bids_conversion.py +++ b/docs/_downloads/9ab89018120aed26b30f3efdfdef47fe/noplot_bids_conversion.py @@ -21,6 +21,7 @@ We will use the AlexMI dataset [3]_, one of the smallest in people and one that can be downloaded quickly. """ + # Authors: Pierre Guetschel # # License: BSD (3-clause) diff --git a/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py b/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py index ce24066f..ce3b6667 100644 --- a/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py +++ b/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py @@ -19,6 +19,7 @@ - LeftRightImagery """ + # Authors: Alexandre Barachant # Sylvain Chevallier # diff --git a/docs/_downloads/9bb96dc7985cb9e3189360966fe90306/tutorial_1_simple_example_motor_imagery.ipynb b/docs/_downloads/9bb96dc7985cb9e3189360966fe90306/tutorial_1_simple_example_motor_imagery.ipynb index bdae4992..b29511c7 100644 --- a/docs/_downloads/9bb96dc7985cb9e3189360966fe90306/tutorial_1_simple_example_motor_imagery.ipynb +++ b/docs/_downloads/9bb96dc7985cb9e3189360966fe90306/tutorial_1_simple_example_motor_imagery.ipynb @@ -280,7 +280,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/9d4b12baed30d0e2fe09c8116ace859d/plot_learning_curve_p300.py b/docs/_downloads/9d4b12baed30d0e2fe09c8116ace859d/plot_learning_curve_p300.py index 4f9d159f..cea40639 100644 --- a/docs/_downloads/9d4b12baed30d0e2fe09c8116ace859d/plot_learning_curve_p300.py +++ b/docs/_downloads/9d4b12baed30d0e2fe09c8116ace859d/plot_learning_curve_p300.py @@ -15,6 +15,7 @@ We will use the P300 paradigm, which uses the AUC as metric. """ + # Authors: Jan Sosulski # # License: BSD (3-clause) diff --git a/docs/_downloads/a1721df1b7d19e3e027162c49fa733d4/tutorial_2_using_mulitple_datasets.py b/docs/_downloads/a1721df1b7d19e3e027162c49fa733d4/tutorial_2_using_mulitple_datasets.py index 2cb5697c..41228092 100644 --- a/docs/_downloads/a1721df1b7d19e3e027162c49fa733d4/tutorial_2_using_mulitple_datasets.py +++ b/docs/_downloads/a1721df1b7d19e3e027162c49fa733d4/tutorial_2_using_mulitple_datasets.py @@ -7,6 +7,7 @@ a classifier with three different MI datasets instead of just one. As before, we begin by importing all relevant libraries. """ + # Authors: Pedro L. C. Rodrigues, Sylvain Chevallier # # https://github.com/plcrodrigues/Workshop-MOABB-BCI-Graz-2019 diff --git a/docs/_downloads/b129d24bc810ae3a961d5bdcb7413828/plot_benchmark_grid_search.py b/docs/_downloads/b129d24bc810ae3a961d5bdcb7413828/plot_benchmark_grid_search.py index 7883592e..b7d91078 100644 --- a/docs/_downloads/b129d24bc810ae3a961d5bdcb7413828/plot_benchmark_grid_search.py +++ b/docs/_downloads/b129d24bc810ae3a961d5bdcb7413828/plot_benchmark_grid_search.py @@ -9,6 +9,7 @@ For this example, we will use only one dataset to keep the computation time low, but this benchmark is designed to easily scale to many datasets. """ + # Authors: Igor Carrara # # License: BSD (3-clause) diff --git a/docs/_downloads/b298e4b36adf2bb5cb6f65682eec852f/plot_grid_search_withinsession.py b/docs/_downloads/b298e4b36adf2bb5cb6f65682eec852f/plot_grid_search_withinsession.py index 35f4ce49..a2f1aefb 100644 --- a/docs/_downloads/b298e4b36adf2bb5cb6f65682eec852f/plot_grid_search_withinsession.py +++ b/docs/_downloads/b298e4b36adf2bb5cb6f65682eec852f/plot_grid_search_withinsession.py @@ -7,6 +7,7 @@ for finding the best model parameter, using grid search. Two models are compared, one "vanilla" model with model tuned via grid search. """ + import os from pickle import load diff --git a/docs/_downloads/b446bb6bcfa12c42d029c4259163f668/tutorial_1_simple_example_motor_imagery.py b/docs/_downloads/b446bb6bcfa12c42d029c4259163f668/tutorial_1_simple_example_motor_imagery.py index 5772f75d..7d564374 100644 --- a/docs/_downloads/b446bb6bcfa12c42d029c4259163f668/tutorial_1_simple_example_motor_imagery.py +++ b/docs/_downloads/b446bb6bcfa12c42d029c4259163f668/tutorial_1_simple_example_motor_imagery.py @@ -9,6 +9,7 @@ use a CSP to enhance the signal-to-noise ratio of the EEG epochs and a LDA to classify these signals. """ + # Authors: Pedro L. C. Rodrigues, Sylvain Chevallier # # https://github.com/plcrodrigues/Workshop-MOABB-BCI-Graz-2019 diff --git a/docs/_downloads/b9f56e19f2500dad10214cc29a2a24e4/plot_mne_and_scikit_estimators.ipynb b/docs/_downloads/b9f56e19f2500dad10214cc29a2a24e4/plot_mne_and_scikit_estimators.ipynb index a8ef0500..2fff5778 100644 --- a/docs/_downloads/b9f56e19f2500dad10214cc29a2a24e4/plot_mne_and_scikit_estimators.ipynb +++ b/docs/_downloads/b9f56e19f2500dad10214cc29a2a24e4/plot_mne_and_scikit_estimators.ipynb @@ -208,7 +208,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/c0d5130414c37580257e7e0b7de777e2/plot_grid_search_withinsession.ipynb b/docs/_downloads/c0d5130414c37580257e7e0b7de777e2/plot_grid_search_withinsession.ipynb index c34b6e5c..13e489c7 100644 --- a/docs/_downloads/c0d5130414c37580257e7e0b7de777e2/plot_grid_search_withinsession.ipynb +++ b/docs/_downloads/c0d5130414c37580257e7e0b7de777e2/plot_grid_search_withinsession.ipynb @@ -136,7 +136,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/c0e8dffad0e66be84b9a762a9f24a516/plot_explore_paradigm.ipynb b/docs/_downloads/c0e8dffad0e66be84b9a762a9f24a516/plot_explore_paradigm.ipynb index 9a67039e..9c89c869 100644 --- a/docs/_downloads/c0e8dffad0e66be84b9a762a9f24a516/plot_explore_paradigm.ipynb +++ b/docs/_downloads/c0e8dffad0e66be84b9a762a9f24a516/plot_explore_paradigm.ipynb @@ -280,7 +280,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/c231a2e535b6091b8fee66bcebfa041c/changing_download_directory.ipynb b/docs/_downloads/c231a2e535b6091b8fee66bcebfa041c/changing_download_directory.ipynb index cffa48b8..7dc1fffc 100644 --- a/docs/_downloads/c231a2e535b6091b8fee66bcebfa041c/changing_download_directory.ipynb +++ b/docs/_downloads/c231a2e535b6091b8fee66bcebfa041c/changing_download_directory.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/c82f3928cb70181ccb714f9ce973e8e7/plot_Getting_Started.ipynb b/docs/_downloads/c82f3928cb70181ccb714f9ce973e8e7/plot_Getting_Started.ipynb index 9e19e117..8f9f5f8e 100644 --- a/docs/_downloads/c82f3928cb70181ccb714f9ce973e8e7/plot_Getting_Started.ipynb +++ b/docs/_downloads/c82f3928cb70181ccb714f9ce973e8e7/plot_Getting_Started.ipynb @@ -226,7 +226,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/c9b0437022c98a63476dd3cad6cb69c7/plot_braindecode.py b/docs/_downloads/c9b0437022c98a63476dd3cad6cb69c7/plot_braindecode.py index 1bb20cc7..2bea99d1 100644 --- a/docs/_downloads/c9b0437022c98a63476dd3cad6cb69c7/plot_braindecode.py +++ b/docs/_downloads/c9b0437022c98a63476dd3cad6cb69c7/plot_braindecode.py @@ -5,6 +5,7 @@ This example shows how to use BrainDecode in combination with MOABB evaluation. In this example, we use the architecture EEGNetv4. """ + # Authors: Igor Carrara # Bruno Aristimunha # diff --git a/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip b/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip index 26a88279..d214f4f8 100644 Binary files a/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip and b/docs/_downloads/cab7a090c4183ca69dc0cd84d3b04413/auto_tutorials_python.zip differ diff --git a/docs/_downloads/cd325bfe64e15ce23db3b200e83ba9a2/plot_filterbank_csp_vs_csp.ipynb b/docs/_downloads/cd325bfe64e15ce23db3b200e83ba9a2/plot_filterbank_csp_vs_csp.ipynb index 6d8df23d..f020e97a 100644 --- a/docs/_downloads/cd325bfe64e15ce23db3b200e83ba9a2/plot_filterbank_csp_vs_csp.ipynb +++ b/docs/_downloads/cd325bfe64e15ce23db3b200e83ba9a2/plot_filterbank_csp_vs_csp.ipynb @@ -118,7 +118,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/de620aa43eea2fc28a9b3587adf0d1f8/plot_disk_cache.py b/docs/_downloads/de620aa43eea2fc28a9b3587adf0d1f8/plot_disk_cache.py index c43c4b84..ed0e9e92 100644 --- a/docs/_downloads/de620aa43eea2fc28a9b3587adf0d1f8/plot_disk_cache.py +++ b/docs/_downloads/de620aa43eea2fc28a9b3587adf0d1f8/plot_disk_cache.py @@ -61,6 +61,7 @@ method of the datasets. It works the same way as for a paradigm except that it will save un-processed raw recordings. """ + # Authors: Pierre Guetschel # # License: BSD (3-clause) diff --git a/docs/_downloads/e34acbbaad3fb8832beb7fa8e4557c94/plot_learning_curve_p300_external.ipynb b/docs/_downloads/e34acbbaad3fb8832beb7fa8e4557c94/plot_learning_curve_p300_external.ipynb index dbd21a0e..b32284fa 100644 --- a/docs/_downloads/e34acbbaad3fb8832beb7fa8e4557c94/plot_learning_curve_p300_external.ipynb +++ b/docs/_downloads/e34acbbaad3fb8832beb7fa8e4557c94/plot_learning_curve_p300_external.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/f1e72fecd296ad91b914eb3562c881ee/plot_cross_session_motor_imagery.ipynb b/docs/_downloads/f1e72fecd296ad91b914eb3562c881ee/plot_cross_session_motor_imagery.ipynb index 932ae6fd..b12e056f 100644 --- a/docs/_downloads/f1e72fecd296ad91b914eb3562c881ee/plot_cross_session_motor_imagery.ipynb +++ b/docs/_downloads/f1e72fecd296ad91b914eb3562c881ee/plot_cross_session_motor_imagery.ipynb @@ -100,7 +100,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/f2d00b929c914067772799fd6f99fb75/4_adding_a_dataset.ipynb b/docs/_downloads/f2d00b929c914067772799fd6f99fb75/4_adding_a_dataset.ipynb index 1a4d49ef..e5a8bf7d 100644 --- a/docs/_downloads/f2d00b929c914067772799fd6f99fb75/4_adding_a_dataset.ipynb +++ b/docs/_downloads/f2d00b929c914067772799fd6f99fb75/4_adding_a_dataset.ipynb @@ -125,7 +125,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/f3215cecaa532ec823443b1b0630d3fb/plot_within_session_ssvep.ipynb b/docs/_downloads/f3215cecaa532ec823443b1b0630d3fb/plot_within_session_ssvep.ipynb index 87854ec6..fdcbe75d 100644 --- a/docs/_downloads/f3215cecaa532ec823443b1b0630d3fb/plot_within_session_ssvep.ipynb +++ b/docs/_downloads/f3215cecaa532ec823443b1b0630d3fb/plot_within_session_ssvep.ipynb @@ -172,7 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/f4558bdb453cb198095be347c0f12fe0/example_codecarbon.ipynb b/docs/_downloads/f4558bdb453cb198095be347c0f12fe0/example_codecarbon.ipynb index 1cb82f5d..466893ef 100644 --- a/docs/_downloads/f4558bdb453cb198095be347c0f12fe0/example_codecarbon.ipynb +++ b/docs/_downloads/f4558bdb453cb198095be347c0f12fe0/example_codecarbon.ipynb @@ -143,7 +143,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.9.19" } }, "nbformat": 4, diff --git a/docs/_downloads/fa1ca889a5b6c6678d3af932651fcf7f/plot_cross_session_multiple_datasets.py b/docs/_downloads/fa1ca889a5b6c6678d3af932651fcf7f/plot_cross_session_multiple_datasets.py index 227715eb..bcf19929 100644 --- a/docs/_downloads/fa1ca889a5b6c6678d3af932651fcf7f/plot_cross_session_multiple_datasets.py +++ b/docs/_downloads/fa1ca889a5b6c6678d3af932651fcf7f/plot_cross_session_multiple_datasets.py @@ -11,6 +11,7 @@ is trained on every other session and performance are evaluated on the current session. """ + # Authors: Sylvain Chevallier # # License: BSD (3-clause) diff --git a/docs/_downloads/fb557f4e0ac4b423b8911acc0958ae76/plot_fixed_interval_windows.py b/docs/_downloads/fb557f4e0ac4b423b8911acc0958ae76/plot_fixed_interval_windows.py index 5607df37..ba9b8fae 100644 --- a/docs/_downloads/fb557f4e0ac4b423b8911acc0958ae76/plot_fixed_interval_windows.py +++ b/docs/_downloads/fb557f4e0ac4b423b8911acc0958ae76/plot_fixed_interval_windows.py @@ -15,6 +15,7 @@ In this example, we will use the Zhou2016 dataset because it is relatively small and can be downloaded quickly. """ + # Authors: Pierre Guetschel # # License: BSD (3-clause) diff --git a/docs/_downloads/fc103af82bd37a6a36f57f863e9fd4aa/plot_statistical_analysis.py b/docs/_downloads/fc103af82bd37a6a36f57f863e9fd4aa/plot_statistical_analysis.py index 0c4b3c5a..4b41d6b8 100644 --- a/docs/_downloads/fc103af82bd37a6a36f57f863e9fd4aa/plot_statistical_analysis.py +++ b/docs/_downloads/fc103af82bd37a6a36f57f863e9fd4aa/plot_statistical_analysis.py @@ -8,6 +8,7 @@ they can be used. """ + # Authors: Vinay Jayaram # # License: BSD (3-clause) diff --git a/docs/_downloads/fe7c33d68ac9fa4d60c0efbc341f93f3/tutorial_3_benchmarking_multiple_pipelines.py b/docs/_downloads/fe7c33d68ac9fa4d60c0efbc341f93f3/tutorial_3_benchmarking_multiple_pipelines.py index 966feef5..dcb84ff4 100644 --- a/docs/_downloads/fe7c33d68ac9fa4d60c0efbc341f93f3/tutorial_3_benchmarking_multiple_pipelines.py +++ b/docs/_downloads/fe7c33d68ac9fa4d60c0efbc341f93f3/tutorial_3_benchmarking_multiple_pipelines.py @@ -6,6 +6,7 @@ In this last part, we extend the previous example by assessing the classification score of not one but three classification pipelines. """ + # Authors: Pedro L. C. Rodrigues, Sylvain Chevallier # # https://github.com/plcrodrigues/Workshop-MOABB-BCI-Graz-2019 diff --git a/docs/_images/sphx_glr_plot_benchmark_001.png b/docs/_images/sphx_glr_plot_benchmark_001.png index 9548e281..af2aa7e8 100644 Binary files a/docs/_images/sphx_glr_plot_benchmark_001.png and b/docs/_images/sphx_glr_plot_benchmark_001.png differ diff --git a/docs/_images/sphx_glr_plot_benchmark_thumb.png b/docs/_images/sphx_glr_plot_benchmark_thumb.png index 72b3040e..212a01cd 100644 Binary files a/docs/_images/sphx_glr_plot_benchmark_thumb.png and b/docs/_images/sphx_glr_plot_benchmark_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png index 7851d021..f57d53cf 100644 Binary files a/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png and b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_001.png differ diff --git a/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png index 988776d2..f28e0503 100644 Binary files a/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png and b/docs/_images/sphx_glr_plot_filterbank_csp_vs_csp_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png index 358115ce..c5a0bc9d 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png and b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_001.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png index 475e0f45..e0124b3d 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png and b/docs/_images/sphx_glr_plot_learning_curve_motor_imagery_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_001.png b/docs/_images/sphx_glr_plot_learning_curve_p300_001.png index d6d40fe1..010bb247 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_p300_001.png and b/docs/_images/sphx_glr_plot_learning_curve_p300_001.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png b/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png index 3a431b39..3fa35425 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png and b/docs/_images/sphx_glr_plot_learning_curve_p300_external_001.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png index 4f3a5d38..7e8f17c1 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png and b/docs/_images/sphx_glr_plot_learning_curve_p300_external_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png b/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png index a932871f..6eec1f65 100644 Binary files a/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png and b/docs/_images/sphx_glr_plot_learning_curve_p300_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_within_session_p300_001.png b/docs/_images/sphx_glr_plot_within_session_p300_001.png index 3b28c527..1578a7bd 100644 Binary files a/docs/_images/sphx_glr_plot_within_session_p300_001.png and b/docs/_images/sphx_glr_plot_within_session_p300_001.png differ diff --git a/docs/_images/sphx_glr_plot_within_session_p300_thumb.png b/docs/_images/sphx_glr_plot_within_session_p300_thumb.png index 6b56de7f..cb907f46 100644 Binary files a/docs/_images/sphx_glr_plot_within_session_p300_thumb.png and b/docs/_images/sphx_glr_plot_within_session_p300_thumb.png differ diff --git a/docs/_images/sphx_glr_plot_within_session_ssvep_002.png b/docs/_images/sphx_glr_plot_within_session_ssvep_002.png index a9f3decf..f7cc51ec 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 20d7d226..6760b0ae 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 12.871 seconds)

-

Estimated memory usage: 375 MB

+plot filterbank csp vs csp

Total running time of the script: ( 0 minutes 13.411 seconds)

+

Estimated memory usage: 432 MB

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

Load Best Model ParameterTotal running time of the script: ( 0 minutes 12.836 seconds)

-

Estimated memory usage: 231 MB

+

Total running time of the script: ( 0 minutes 13.047 seconds)

+

Estimated memory usage: 313 MB

 @@ -860,7 +862,7 @@

Advanced MNE PipelineAdvanced MNE PipelineAdvanced MNE Pipeline @@ -924,7 +926,7 @@

Numpy-based PipelineNumpy-based PipelineNumpy-based Pipeline @@ -978,8 +980,8 @@

Combining Resultsplt.show() -Algorithm comparison

Total running time of the script: ( 0 minutes 46.598 seconds)

-

Estimated memory usage: 251 MB

+Algorithm comparison

Total running time of the script: ( 0 minutes 47.717 seconds)

+

Estimated memory usage: 328 MB

-plot select electrodes resample

Total running time of the script: ( 0 minutes 40.260 seconds)

-

Estimated memory usage: 374 MB

+plot select electrodes resample

Total running time of the script: ( 0 minutes 40.838 seconds)

+

Estimated memory usage: 473 MB

-Algorithm comparison

Total running time of the script: ( 0 minutes 40.297 seconds)

-

Estimated memory usage: 291 MB

+Algorithm comparison

Total running time of the script: ( 0 minutes 42.782 seconds)

+

Estimated memory usage: 365 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 56.054 seconds)

-

Estimated memory usage: 15 MB

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 58.627 seconds)

+

Estimated memory usage: 14 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 0 minutes 35.199 seconds)

-

Estimated memory usage: 239 MB

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 0 minutes 36.107 seconds)

+

Estimated memory usage: 301 MB

-Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 6.036 seconds)

+Errorbar shows Mean-CI across permutations

Total running time of the script: ( 1 minutes 8.352 seconds)

Estimated memory usage: 11 MB

-
2024-03-18 12:47:56,264 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
+
2024-04-04 11:49:54,537 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
@@ -735,110 +735,108 @@ 
Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkplt.show()
 

 

-Scores per dataset and algorithm
2024-03-18 12:48:24,752 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
+Scores per dataset and algorithm
2024-04-04 11:50:22,996 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  29.390 seconds)

-
Estimated memory usage:  326 MB

+
Total running time of the script: ( 0 minutes  29.438 seconds)

+
Estimated memory usage:  323 MB

 

 

-plot cross session motor imagery
/home/runner/work/moabb/moabb/examples/plot_cross_session_motor_imagery.py:102: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
+plot cross session motor imagery
/home/runner/work/moabb/moabb/examples/plot_cross_session_motor_imagery.py:103: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
   sns.stripplot(
 

 

-
Total running time of the script: ( 0 minutes  9.709 seconds)

-
Estimated memory usage:  304 MB

+
Total running time of the script: ( 0 minutes  10.069 seconds)

+
Estimated memory usage:  392 MB

 

 

-dataset = Zhou2016, dataset = BNCI2014-001
Total running time of the script: ( 0 minutes  14.819 seconds)

-
Estimated memory usage:  290 MB

+dataset = Zhou2016, dataset = BNCI2014-001
Total running time of the script: ( 0 minutes  15.788 seconds)

+
Estimated memory usage:  358 MB
-plot cross subject ssvep

Total running time of the script: ( 0 minutes 19.147 seconds)

-

Estimated memory usage: 22 MB

+plot cross subject ssvep

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

+

Estimated memory usage: 21 MB

-

Total running time of the script: ( 0 minutes 26.438 seconds)

-

Estimated memory usage: 248 MB

+

Total running time of the script: ( 0 minutes 27.148 seconds)

+

Estimated memory usage: 301 MB

-

Total running time of the script: ( 0 minutes 21.849 seconds)

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Estimated memory usage: 711 MB

+

Total running time of the script: ( 0 minutes 22.974 seconds)

+

Estimated memory usage: 851 MB