moabb - v1.2.0

New Contributors

• @martinwimpff made their first contribution in https://github.com/NeuroTechX/moabb/pull/651
• @Samuel-Boehm made their first contribution in https://github.com/NeuroTechX/moabb/pull/674
• @allwaysFindFood made their first contribution in https://github.com/NeuroTechX/moabb/pull/685

Full Changelog: https://github.com/NeuroTechX/moabb/compare/v1.1.1...v1.2.0

- Python
Published by bruAristimunha 12 months ago

moabb - v1.1.1

Version - 1.1.1 (Stable - PyPi)

Enhancements

• Add possibility to use OptunaGridSearch (#630 by Igor Carrara)
• Add scripts to upload results on PapersWithCode (#561 by Pierre Guetschel)
• Centralize dataset summary tables in CSV files (#635 by Pierre Guetschel)
• Add new dataset moabb.datasets.Liu2024 (#619 by Taha Habib)

Bugs

• Fix caching in the workflows (#632 by Pierre Guetschel)

API changes

• Include optuna as a soft-dependency in the benchmark function and in the base of evaluation (#630 by Igor Carrara)

- Python
Published by bruAristimunha over 1 year ago

moabb - MOABB stable version v1.1.0

Enhancements

• Add cache option to the evaluation (#518 by Bruno Aristimunha)
• Option to interpolate channel in paradigms’ match_all method (#480 by Gregoire Cattan)
• Add leave k-Subjects out evaluations (#470 by Bruno Aristimunha)
• Update Braindecode dependency to 0.8 (#542 by Pierre Guetschel)
• Improve transform function of AugmentedDataset (#541 by Quentin Barthelemy)
• Add new paper results website (#556 by Bruno Aristimunha)
• Move cVEP common functions to moabb.datasets.utils (#564 #557 by Pierre Guetschel)
• Normalize c-VEP description tables (#562 #566 by Pierre Guetschel and Bruno Aristimunha)
• Update citation in README (#573 by Igor Carrara)
• Update pyRiemann dependency (#577 by Gregoire Cattan)
• Add resting stage Hinss2021 dataset (#580 by Gregoire Cattan and Yash Chauhan)
• Expose the learning rate parameter in the keras deep learning methods and optimize parameters (#589 and #592 by Bruno Aristimunha)
• Updating the braindecode pipelines for the new braindecode version 0.8.1 (#589 by Bruno Aristimunha)
• Add SSVEP and ERP paradigms to DL pipelines (#590 by Pierre Guetschel)
• Allow to pass a single pipeline file to benchmark (#591 by Pierre Guetschel)
• Add new dataset moabb.datasets.Stieger2021 (#604 by Reinmar Kobler and Bruno Aristimunha)
• Exposing the drop_rate for all the deep learning parameters (#592 by Bruno Aristimunha)
• Add new dataset moabb.datasets.Rodrigues2017 dataset (#602 by Gregoire Cattan and Pedro L. C. Rodrigues)
• Change unittest to pytest (#618 by Bruno Aristimunha)
• Remove tensorflow import warning (#622 by Bruno Aristimunha)

Bugs

• Fix TRCA implementation for different stimulation freqs and for signal filtering (:gh:522 by Sylvain Chevallier)
• Fix saving to BIDS runs with a description string in their name (#530 by Pierre Guetschel)
• Fix import of keras BatchNormalization for TF 2.13 and higher (#544 by Brian Irvine)
• Fix the doc summary tables of moabb.datasets.Lee2019_SSVEP (#548 #547 #546 by Pierre Guetschel)
• Fix the doc summary for Castillos2023 dataset (#561 by Bruno Aristimunha)
• Fix format string receiving incorrect number of args in bids interface (#563 by Pierre Guetschel)
• Fix number of sessions in doc of moabb.datasets.Sosulski2019 (#565 by Pierre Guetschel)
• Fix code column of moabb.datasets.CastillosCVEP100 and moabb.datasets.CastillosCVEP100 (#567 by Pierre Guetschel)
• MAINT updating the packages pre-release (#578 by Bruno Aristimunha)
• Fix mne_bids version incompatibility with mne (#586 by Bruna Lopes)
• Updating the parameters of the SSVEP_TRCA method (#589 by Bruno Aristimunha)
• Fix and updating the parameters for the benchmark function (#588 by Bruno Aristimunha)
• Fix moabb.datasets.preprocessing.SetRawAnnotations setting incorrect annotations when the dataset’s interval does not start at 0 (#607 by Pierre Guetschel)
• Fix download link for GigaDB Cho2017 and Lee2019 datasets (#621 by Anton Andreev)

API changes

• None

- Python
Published by sylvchev over 1 year ago

moabb - MOABB stable version

This new stable version of MOABB brings several new features (details below) and this is a new major version as the integration of BIDS compatibility was the opportunity to normalize dataset names, including a more regular naming scheme for sessions and runs. New addition includes support for new datasets, including cVEP ones.

API changes

• Renaming datasets, sessions and runs, see #455 and #471

Enhancements

• Adding extra thank you section in the documentation (#390 by Bruno Aristimunha)

• Adding new script to get the meta information of the datasets (#389 by Bruno Aristimunha)

• Fixing the dataset description based on the meta information (#389 and 398 by Bruno Aristimunha and Sara Sedlar)

• Adding second deployment of the documentation (#374 by Bruno Aristimunha)

• Adding Parallel evaluation for moabb.evaluations.WithinSessionEvaluation() , moabb.evaluations.CrossSessionEvaluation() (#364 by Bruno Aristimunha)

• Add example with VirtualReality BrainInvaders dataset (#393 by Gregoire Cattan and Pedro L. C. Rodrigues)

• Adding saving option for the models (#401 by Bruno Aristimunha and Igor Carrara)

• Adding example to load different type of models (#401 by Bruno Aristimunha and Igor Carrara)

• Add resting state paradigm with dataset and example (#400 by Gregoire Cattan and Pedro L. C. Rodrigues)

• Speeding the augmentation method by 400% with NumPy vectorization (#419 by Bruno Aristimunha)

• Add possibility to convert datasets to BIDS, plus example (PR #408, PR #391 by Pierre Guetschel and Bruno Aristimunha)

• Allow caching intermediate processing steps on disk, plus example (PR #408, issue #385 by Pierre Guetschel)

• Restructure the paradigms and datasets to move all preprocessing steps to moabb.datasets.preprocessing and as sklearn pipelines (PR #408 by Pierre Guetschel)

• Add moabb.paradigms.FixedIntervalWindowsProcessing() and moabb.paradigms.FilterBankFixedIntervalWindowsProcessing(), plus example (PR #408, issue #424 by Pierre Guetschel)

• Define moabb.paradigms.base.BaseProcessing(), common parent to moabb.paradigms.base.BaseParadigm() and moabb.paradigms.BaseFixedIntervalWindowsProcessing() (PR #408 by Pierre Guetschel)

• Allow passing a fixed processing pipeline to moabb.paradigms.base.BaseProcessing.get_data() and cache its result on disk (PR #408, issue #367 by Pierre Guetschel)

• Update moabb.datasets.fake.FakeDataset()’s code to be unique for each parameter combination (PR #408 by Pierre Guetschel)

• Systematically set the annotations when loading data, eventually using the stim channel (PR #408 by Pierre Guetschel)

• Allow moabb.datasets.utils.dataset_search() to search across paradigms paradigm=None (PR #408 by Pierre Guetschel)

• Improving the review processing with more pre-commit bots (#435 by Bruno Aristimunha)

• Add methods makeprocessingpipelines and makelabelspipeline to moabb.paradigms.base.BaseProcessing (#447 by Pierre Guetschel)

• Pipelines’ digests are now computed from the whole processing+classification pipeline (#447 by Pierre Guetschel)

• Update all dataset codes to remove white spaces and underscores (#448 by Pierre Guetschel)

• Add moabb.utils.depreciated_alias() decorator (#455 by Pierre Guetschel)

• Rename many dataset class names to standardize and deprecate old names (#455 by Pierre Guetschel)

• Change many dataset codes to match the class names (#455 by Pierre Guetschel)

• Add moabb.datasets.compounddataset.utils.compounddataset_list (#455 by Pierre Guetschel)

• Add c-VEP paradigm and Thielen2021 c-VEP dataset (#463 by Jordy Thielen)

• Add option to plot scores vertically. (#417 by Sara Sedlar)

• Change naming scheme for runs and sessions to align to BIDS standard (#471 by Pierre Guetschel)

• Increase the python version to 3.11 (#470 by Bruno Aristimunha)

• Add match_all method in paradigm to support CompoundDataset evaluation with MNE epochs (#473 by Gregoire Cattan)

• Automate setting of eventid in compound dataset and add dataorigin information to the data (#475 by Gregoire Cattan)

• Add possibility of not saving the model (#489 by Igor Carrara)

Bugs

• Restore 3 subject from Cho2017 (#392 by Igor Carrara and Sylvain Chevallier)

• Correct downloading with VirtualReality BrainInvaders dataset (#393 by Gregoire Cattan)

• Rename event subtraction in moabb.datasets.Shin2017B() (#397 by Pierre Guetschel)

• Save parameters of moabb.datasets.PhysionetMI() (#403 by Pierre Guetschel)

• Fixing issue with parallel evaluation (#401 by Bruno Aristimunha and Igor Carrara)

• Fixing SSLError from BCI competition IV (#404 by Bruno Aristimunha)

• Fixing moabb.datasets.bnci.MNEBNCI.data_path() that returned the data itself instead of paths (#412 by Pierre Guetschel)

• Adding moabb.datasets.fake() in the init file to use in braindecode object (#414 by Bruno Aristimunha)

• Fixing the parallel download issue when the dataset have the same directory (#421 by Sara Sedlar)

• Fixing fixes the problem with the annotation loading for the P300 datasets Sosulski2019, Huebner2017 and Huebner2018 (#396 by Sara Sedlar)

• Removing the print in the dataset list (#423 by Bruno Aristimunha)

• Fixing bug in moabb.pipeline.utils_pytorch.BraindecodeDatasetLoader() where incorrect y was used in transform calls (#426 by Gabriel Schwartz)

• Fixing one test in moabb.pipeline.utils_pytorch.BraindecodeDatasetLoader() (#426 by Bruno Aristimunha)

• Fix moabb.benchmark() overwriting include_datasets list (#408 by Pierre Guetschel)

• Fix moabb.paradigms.base.BaseParadigm() using attributes before defining them (PR #408, issue #425 by Pierre Guetschel)

• Fix moabb.paradigms.FakeImageryParadigm(), moabb.paradigms.FakeP300Paradigm() and moabb.paradigms.FakeSSVEPParadigm() is_valid methods to only accept the correct datasets (PR #408 by Pierre Guetschel)

• Fix dataset_list construction, which could be empty due to bad import order (PR #449 by Thomas Moreau).

• Fixing dataset downloader from servers with non-http (PR #433 by Sara Sedlar)

• Fix dataset_list to include deprecated datasets (PR #464 by Bruno Aristimunha)

• Fixed bug in moabb.analysis.results.getstringrep() to handle addresses such as 0x__0A as well (PR #468 by Anton Andreev_)

• Moving the moabb.evualation.grid_search() to inside the base evaluation (#487 by Bruno Aristimunha)

• Removing joblib Parallel (#488 by Igor Carrara)

• Fix case when events specified via raw.annotations but no events (#491 by Pierre Guetschel)

• Fix bug in downloading Shin2017A dataset (#493 by Igor Carrara)

• Fix the cropped option in the dataset preprocessing (#502 by Bruno Aristimunha)

- Python
Published by sylvchev over 2 years ago

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

New Contributors

• @danidask made their first contribution in https://github.com/NeuroTechX/moabb/pull/288
• @yosider made their first contribution in https://github.com/NeuroTechX/moabb/pull/293
• @bruAristimunha made their first contribution in https://github.com/NeuroTechX/moabb/pull/317
• @carraraig made their first contribution in https://github.com/NeuroTechX/moabb/pull/319
• @gcattan made their first contribution in https://github.com/NeuroTechX/moabb/pull/358
• @emmanuelkalunga made their first contribution in https://github.com/NeuroTechX/moabb/pull/359

Full Changelog: https://github.com/NeuroTechX/moabb/compare/v0.4.5...v0.5

- Python
Published by bruAristimunha almost 3 years ago

moabb - MOABB v0.4.6 (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.

- Python
Published by sylvchev almost 4 years ago

moabb - MOABB v0.4.5 (stable)

This is the new stable version of MOABB, 0.4.5, that is available on PyPi. See What's new section of the documentation for more information.

- Python
Published by sylvchev almost 4 years ago

moabb - First PyPI version

We've added poetry based dependency management, added style checks via pre-commit also tested against all versions of Python starting from 3.6.

Now moabb could be installed like any other package via pip install moabb

Checkout https://pypi.org/project/moabb/

- Python
Published by v-goncharenko almost 5 years ago

moabb - MOABB version 0.2.0

Updated code after adding P300, SSVEP, and various fixes and improvements. There are likely to be necessary hotfixes but since the userbase is rather small I'm releasing anyway

- Python
Published by vinay-jayaram about 7 years ago

moabb - Code for arXiv preprint

This describes the state of the code for the arXiv preprint at https://arxiv.org/abs/1805.06427, including the implemented TRCSP within moabb.pipelines.csp

- Python
Published by vinay-jayaram almost 8 years ago