braindecode.datasets.MOABBDataset

class braindecode.datasets.MOABBDataset(dataset_name, subject_ids, dataset_kwargs=None)

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

Split Dataset Example

Split Dataset Example

Load and save dataset example

Load and save dataset example

MOABB Dataset Example

MOABB Dataset Example

Hyperparameter tuning with scikit-learn

Hyperparameter tuning with scikit-learn

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

Trialwise Decoding on BCIC IV 2a Dataset

Trialwise Decoding on BCIC IV 2a Dataset

Cropped Decoding on BCIC IV 2a Dataset

Cropped Decoding on BCIC IV 2a Dataset

How to train, test and tune your model

How to train, test and tune your model