moabb.setup_seed

moabb.setup_seed(seed: int) → None

Set the seed for random, numpy, TensorFlow and PyTorch.

Parameters:

seed (int) – The random seed to use.

Return type:

None

Examples using moabb.setup_seed

Load Model (Scikit, Pytorch, Keras) with MOABB

Load Model (Scikit, Pytorch, Keras) with MOABB

Benchmarking on MOABB with Tensorflow deep net architectures

Benchmarking on MOABB with Tensorflow deep net architectures

Benchmarking on MOABB with Braindecode (PyTorch) deep net architectures

Benchmarking on MOABB with Braindecode (PyTorch) deep net architectures

Cross-session motor imagery with deep learning EEGNet v4 model

Cross-session motor imagery with deep learning EEGNet v4 model