braindecode.datasets.MOABBDataset#

class braindecode.datasets.MOABBDataset(dataset_name, subject_ids, dataset_kwargs=None)[source]#

A class for moabb datasets.

Parameters:

dataset_name (str) – name of dataset included in moabb to be fetched
subject_ids (list(int) | int | None) – (list of) int of subject(s) to be fetched. If None, data of all subjects is fetched.
dataset_kwargs (dict, optional) – optional dictionary containing keyword arguments to pass to the moabb dataset when instantiating it.

Examples using `braindecode.datasets.MOABBDataset`#

Cropped Decoding on BCIC IV 2a Dataset

Cropped Decoding on BCIC IV 2a Dataset

Basic Brain Decoding on EEG Data

Basic Brain Decoding on EEG Data

How to train, test and tune your model?

How to train, test and tune your model?

Hyperparameter tuning with scikit-learn

Hyperparameter tuning with scikit-learn

Training a Braindecode model in PyTorch

Training a Braindecode model in PyTorch

Load and save dataset example

Load and save dataset example

MOABB Dataset Example

MOABB Dataset Example

Split Dataset Example

Split Dataset Example

Data Augmentation on BCIC IV 2a Dataset

Data Augmentation on BCIC IV 2a Dataset

Searching the best data augmentation on BCIC IV 2a Dataset

Searching the best data augmentation on BCIC IV 2a Dataset