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
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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