MOABB v0.5 (stable)

This is the latest stable version of MOABB, 0.4.6, that is available on PyPi. See What's new section of the documentation for more information.

What's Changed

• Set download dir test and example by @Div12345 in #249
• Fix Schirrmeister2017 error by @sylvchev in #255
• Removing dependency of Physionet MI download on mne method by @Div12345 in #257
• Correct MAMEM issues by @sylvchev in #256
• Progress bars by @Div12345 in #258
• fix doc url in readme by @sylvchev in #262
• Schirrmeister2017 High-Gamma Dataset from EDF by @robintibor in #265
• added 13 + 12 subjects speller datasets by huebner by @jsosulski in #260
• added Spot Auditory oddball dataset by @jsosulski in #266
• Visualize all ERP datasets by @jsosulski in #261
• update to v0.4.5 by @sylvchev in #269
• correct pre-commit error and add code coverage by @sylvchev in #271
• add new erp datasets to docs by @jsosulski in #282
• Add Brain Invaders datasets by @sylvchev in #283
• Fix README.md documentation link in ToC by @jsosulski in #284
• Generalize default path for erp visualization by @jsosulski in #279
• Elicit warning if lambda functions are used by @jsosulski in #278
• update to 0.4.6 by @sylvchev in #286
• fix plot instantly close by @danidask in #288
• correct lint test failing due to black version by @sylvchev in #292
• preload Schirrmsister2017 - Fixes #289 by @PierreGtch in #290
• Fix typo by @yosider in #293
• remove unnecessary indents by @yosider in #297
• Correct Lee dataset loading by @sylvchev in #298
• Bump mistune from 0.8.4 to 2.0.3 by @dependabot in #303
• Hotfix _simplify_names by @Div12345 in #306
• Update deps and doc cleaning by @sylvchev in #315
• Benchmark function by @Div12345 in #264
• Adding Wiki Meta Information to the documentation by @bruAristimunha in #317
• Fix dataset downloading errors by @sylvchev in #318
• Return raw with get_data by @sylvchev in #302
• replacing the np.int to native type int. by @bruAristimunha in #321
• Grid Search on Evaluation by @carraraig in #319
• Beanchmark grid search by @carraraig in #323
• Deprecated numpy by @bruAristimunha in #324
• Updating the .pre-commit-yaml to fix CI. by @bruAristimunha in #330
• Restricting Python < 3.11 version and adding tensorflow, keras, scikeras, braindecode, skorch and torch [optional] by @bruAristimunha in #329
• Updating CI by @bruAristimunha in #332
• Update pipelines by @sylvchev in #326
• Adding Google analytics by @bruAristimunha in #335
• Fix bug for MotorImagery All events by @carraraig in #337
• Adding a convenient Docker by @bruAristimunha in #322
• Fixing whats new and one missed import by @bruAristimunha in #341
• Updating Gitter link by @bruAristimunha in #342
• Change n_jobs=-1 to self.n_jobs by @carraraig in #344
• Plot brain decode by @carraraig in #345
• Disable coverage patch by @bruAristimunha in #346
• Cleaning Pipeline by @carraraig in #349
• CodeCarbon by @carraraig in #350
• Fixing doc generation by @sylvchev in #351
• Circleci project setup by @bruAristimunha in #354
• Removing the CI by @bruAristimunha in #357
• Example CodeCarbon by @carraraig in #356
• Adding Braindecode pipeline by @bruAristimunha in #328
• New theme, PyData by @bruAristimunha in #353
• [Dataset] Brain Invaders dataset with VR/PC display by @gcattan in #358
• Fixing circular import by @bruAristimunha in #363
• Adding Data Description to Huebner2017, Huebner2018, Sosulski2019 by @bruAristimunha in #362
• Speeding the AUG Method by @bruAristimunha in #365
• MsetCCA SSVEP classification + example by @emmanuelkalunga in #359
• Fix dropped epochs by @PierreGtch in #371
• Adding redundancy deployment on web page by @bruAristimunha in #373
• Pipelines for MsetCCA SSVEP, TRCA SSVEP, and others by @emmanuelkalunga in #368

New Contributors

• @danidask made their first contribution in #288
• @yosider made their first contribution in #293
• @bruAristimunha made their first contribution in #317
• @carraraig made their first contribution in #319
• @gcattan made their first contribution in #358
• @emmanuelkalunga made their first contribution in #359

Full Changelog: v0.4.5...v0.5