deploy: NeuroTechX/moabb@a6e6815

NeuroTechX · Apr 4, 2024 · 6d3044f · 6d3044f
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diff --git 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
@@ -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
diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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
@@ -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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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
@@ -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
@@ -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
@@ -11,6 +11,7 @@
 generation, the results is computed on a local cluster but could be easily
 replicated on your infrastructure.
 """
+
 # Authors: Igor Carrara <[email protected]>
 #          Bruno Aristimunha <[email protected]>
 #

diff --git 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
@@ -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 <[email protected]>
 #          Bruno Aristimunha <[email protected]>
 #          Sylvain Chevallier <[email protected]>

diff --git 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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -14,6 +14,7 @@
 We will use the P300 paradigm, which uses the AUC as metric.
 
 """
+
 # Authors: Pedro Rodrigues <[email protected]>
 #
 # 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
@@ -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
@@ -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
@@ -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
@@ -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/...downloads/4819137c12db5666618aa0e7e8603bce/noplot_tutorial_5_build_a_custom_dataset.ipynb b/...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
@@ -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 <[email protected]>
 #
 # 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
@@ -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
@@ -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
@@ -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 <[email protected]>
 # Modified by: Gregoire Cattan <[email protected]>
 # License: BSD (3-clause)

diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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 <[email protected]>
 #
 # 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
@@ -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/...wnloads/5c05a4e8c08dd8d574a1e608b6e51c83/tutorial_3_benchmarking_multiple_pipelines.ipynb b/...wnloads/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
@@ -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
diff --git a/.../_downloads/73deabcc8228302a2b46b9595661aedc/noplot_vr_pc_p300_different_epoch_size.ipynb b/.../_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
@@ -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
@@ -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
@@ -19,6 +19,7 @@
 is trained on every other session and performance are evaluated on the current
 session.
 """
+
 # Authors: Alexandre Barachant <[email protected]>
 #          Sylvain Chevallier <[email protected]>
 #

diff --git 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 <[email protected]>
 # 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
@@ -8,6 +8,7 @@
 utility function to select common electrodes shared between datasets.
 This tutorial demonstrates how to use this functionality.
 """
+
 # Authors: Sylvain Chevallier <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git a/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip b/docs/_downloads/97a1de59bce682890841bb846e3dd09c/auto_tutorials_jupyter.zip
diff --git 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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git a/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py b/docs/_downloads/9b872d163c45f60eb451b1869667203a/plot_explore_paradigm.py
@@ -19,6 +19,7 @@
      - LeftRightImagery
 
 """
+
 # Authors: Alexandre Barachant <[email protected]>
 #          Sylvain Chevallier <[email protected]>
 #

diff --git a/..._downloads/9bb96dc7985cb9e3189360966fe90306/tutorial_1_simple_example_motor_imagery.ipynb b/..._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
@@ -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
@@ -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
@@ -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 <[email protected]>
 #
 # License: BSD (3-clause)

diff --git 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
-Original file line number
+Diff line change
@@ Expand Up / @@ -16,6 +16,7 @@ @@
     We will use the P300 paradigm, which uses the AUC as metric.
     """
     # Authors: Jan Sosulski
     #
     # License: BSD (3-clause)
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