What’s new

Develop branch

Enhancements

• None

Bugs

• None

API changes

• None

Version - 0.4.6 (Stable - PyPi)

Enhancements

• Add P300 BrainInvaders datasets (#283 by Sylvain Chevallier)

• Add explicit warning when lambda function are used to parametrize pipelines (#278 by Jan Sosulski)

Bugs

• Correct default path for ERP visualization (#279 by Jan Sosulski)

• Correct documentation (#282 and #284 by Jan Sosulski)

Version - 0.4.5

Enhancements

• Progress bars, pooch, tqdm (#258 by Divyesh Narayanan and Sylvain Chevallier)

• Adding test and example for set_download_dir (#249 by Divyesh Narayanan)

• Update to newer version of Schirrmeister2017 dataset (#265 by Robin Schirrmeister)

• Adding Huebner2017 and Huebner2018 P300 datasets (#260 by Jan Sosulski)

• Adding Sosulski2019 auditory P300 datasets (#266 by Jan Sosulski)

• New script to visualize ERP on all datasets, as a sanity check (#261 by Jan Sosulski)

Bugs

• Removing dependency on mne method for PhysionetMI data downloading, renaming runs (#257 by Divyesh Narayanan)

• Correcting events management in Schirrmeister2017, renaming session and run (#255 by Pierre Guetschel and Sylvain Chevallier)

• Switch session and runs in MAMEM1, 2 and 3 to avoid error in WithinSessionEvaluation (#256 by Sylvain Chevallier)

• Correct doctstrings for the documentation, incuding Lee2017 (#256 by Sylvain Chevallier)

Version - 0.4.4

Enhancements

• Add TRCA algorithm for SSVEP (#238 by Ludovic Darmet)

Bugs

• Remove unused argument from dataset_search (#243 by Divyesh Narayanan)

• Remove MNE call to _fetch_dataset and use MOABB _fetch_file (#235 by Jan Sosulski)

• Correct doc formatting (#232 by Sylvain Chevallier)

API changes

• Minimum supported Python version is now 3.7

• MOABB now depends on scikit-learn >= 1.0

Version - 0.4.3

Enhancements

• Rewrite Lee2019 to add P300 and SSVEP datasets (#217 by Pierre Guetschel)

Bugs

• Avoid information leakage for MNE Epochs pipelines in evaluation (#222 by Sylvain Chevallier)

• Correct error in set_download_dir (#225 by Sylvain Chevallier)

• Ensure that channel order is consistent across dataset when channel argument is specified in paradigm (#229 by Sylvain Chevallier)

API changes

• ch_names argument added to init of moabb.datasets.fake.FakeDataset (#229 by Sylvain Chevallier)

Version - 0.4.2

Enhancements

• None

Bugs

• Correct error when downloading Weibo dataset (#212 by Sylvain Chevallier)

API changes

• None

Version - 0.4.1

Enhancements

• None

Bugs

• Correct path error for first time launch (#204 by Sylvain Chevallier)

• Fix optional dependencies issues for PyPi (#205 by Sylvain Chevallier)

API changes

• Remove update_path on all datasets, update_path parameter in dataset.data_path() is deprecated (#207 by Sylvain Chevallier)

Version - 0.4.0

Enhancements

• Implementation for learning curves (#155 by Jan Sosulski)

• Adding Neiry Demons P300 dataset (#156 by Vladislav Goncharenko)

• Coloredlogs removal (#163 by Vladislav Goncharenko)

• Update for README (#164 by Vladislav Goncharenko and Sylvain Chevallier)

• Test all relevant python versions in Github Actions CI (#167 by Vladislav Goncharenko)

• Adding motor imagery part of the Lee2019 dataset (#170 by Ali Abdul Hussain)

• CI: deploy docs from CI pipeline (#124 by Erik Bjäreholt, Divyesh Narayanan and Sylvain Chevallier)

• Remove dependencies: WFDB and pyunpack (#180 and #188 by Sylvain Chevallier)

• Add support for FigShare API (#188 by Sylvain Chevallier)

• New download backend function relying on Pooch, handling FTP, HTTP and HTTPS (#188 by Sylvain Chevallier)

• Complete rework of examples and tutorial (#188 by Sylvain Chevallier)

• Change default storage location for results: instead of moabb source code directory it is now stored in mne_data (#188 by Sylvain Chevallier)

• Major update of test (#188 by Sylvain Chevallier)

• Adding troubleshooting and badges in README (#189 by Jan Sosulski and Sylvain Chevallier)

• Use MNE epoch in evaluation (#192 by Sylvain Chevallier)

• Allow changing of storage location (#192 by Divyesh Narayanan and Sylvain Chevallier)

• Deploy docs on moabb.github.io (#196 by Sylvain Chevallier)

• Broadening subject_list type for moabb.datasets.BaseDataset() (#198 by Sylvain Chevallier)

• Adding this what’s new (#200 by Sylvain Chevallier)

• Improving cache usage and save computation time in CI (#200 by Sylvain Chevallier)

• Rewrite Lee2019 to add P300 and SSVEP datasets (#217 by Pierre Guetschel)

Bugs

• Restore basic logging (#177 by Jan Sosulski)

• Correct wrong type of results dataframe columns (#188 by Sylvain Chevallier)

• Add accept arg to acknowledge licence for moabb.datasets.Shin2017A() and moabb.datasets.Shin2017B() (#201 by Sylvain Chevallier)

API changes

• Drop update_path from moabb.download.data_path and moabb.download.data_dl

Version 0.3.0

Enhancements

• Expose sklearn error_score parameter (#70 by Jan Sosulski)

• Adds a unit_factor attribute to base_paradigms (#72 by Jan Sosulski)

• Allow event lists in P300 paradigm (#83 by Jan Sosulski)

• Return epochs instead of np.ndarray in process_raw (#86 by Jan Sosulski)

• Set path for hdf5 files (#92 by Jan Sosulski)

• Update to MNE 0.21 (#101 by Ramiro Gatti and Sylvain Chevallier)

• Adding a baseline correction (#115 by Ramiro Gatti)

• Adding SSVEP datasets: MAMEM1, MAMEM2, MAMEM3, Nakanishi2015, Wang2016, (#118 by Sylvain Chevallier, Quentin Barthelemy, and Divyesh Narayanan)

• Switch to GitHub Actions (#124 by Erik Bjäreholt)

• Allow recording of additional scores/parameters/metrics in evaluation (#127 and #128 by Jan Sosulski)

• Fix Ofner2017 and PhysionetMI annotations (#135 by Ali Abdul Hussain)

• Adding Graz workshop tutorials (#130 and #137 by Sylvain Chevallier and Lucas Custódio)

• Adding pre-commit configuration using isort, black and flake8 (#140 by Vladislav Goncharenko)

• style: format Python code with black (#147 by Erik Bjäreholt)

• Switching to Poetry dependency management (#150 by Vladislav Goncharenko)

• Using Prettier to format md and yml files (#151 by Vladislav Goncharenko)

Bugs

• Use stim_channels or check annotation when loading files in Paradigm (#72 by Jan Sosulski)

• Correct MNE issues (#76 by Sylvain Chevallier)

• Fix capitalization in channel names of cho dataset (#90 by Jan Sosulski)

• Correct failling CI tests (#100 by Sylvain Chevallier)

• Fix EPFL dataset flat signal sections and wrong scaling (#104 and #96 by Jan Sosulski)

• Fix schirrmeister dataset for Python3.8 (#105 by Robin Schirrmeister)

• Correct event detection problem and duplicate event error (#106 by Sylvain Chevallier)

• Fix channel selection in paradigm (#108 by Sylvain Chevallier)

• Fix upperlimb Ofner2017 error and gdf import problem (#111 and #110 by Sylvain Chevallier)

• Fix event_id in events_from_annotations missed (#112 by Ramiro Gatti)

• Fix h5py>=3.0 compatibility issue (#138 by Mohammad Mostafa Farzan)

• Python 2 support removal (#148 by Vladislav Goncharenko)

• Travis-ci config removal (#149 by Vladislav Goncharenko)

API changes

• None

Version 0.2.1

Enhancements

• Add Tikhonov regularized CSP in moabb.pipelines.csp from the paper (#60 by Vinay Jayaram)

• update to MNE version 0.19 (#73 by Jan Sosulski)

• Improve doc building in CI (#60 by Sylvain Chevallier)

Bugs

• Update GigaDB Cho2017 URL (Pedro L. C. Rodrigues and Vinay Jayaram)

• Fix braininvaders ERP data (Pedro L. C. Rodrigues)

• Replace MNE read_montage with make_standard_montage (Jan Sosulski)

• Correct Flake and PEP8 error (Sylvain Chevallier)

API changes

• None

Version 0.2.0

Enhancements

• MOABB corresponding to the paper version by Vinay Jayaram and Alexandre Barachant

• Creating P300 paradigm and BNCI datasets (#53 by Pedro L. C. Rodrigues)

• Adding EPFL P300 dataset (#56 by Pedro L. C. Rodrigues)

• Adding BrainInvaders P300 dataset (#57 by Pedro L. C. Rodrigues)

• Creating SSVEP paradigm and SSVEPExo dataset (#59 by Sylvain Chevallier)

Bugs

• None

API changes

• None