moabb.setup_seed#

moabb.setup_seed(seed: int) None[source]#

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

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 Tensorflow deep net architectures
Benchmarking on MOABB with Braindecode (PyTorch) 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

Cross-session motor imagery with deep learning EEGNet v4 model