Computation times

05:42.469 total execution time for 11 files from auto_examples/model_building:

Example	Time	Mem (MB)
Cleaning EEG Data with EEGPrep for Trialwise Decoding (plot_bcic_iv_2a_eegprep_cleaning.py)	01:15.802	1527.4
Cropped Decoding on BCIC IV 2a Dataset (plot_bcic_iv_2a_moabb_cropped.py)	00:55.058	1504.5
Loading and Adapting Pretrained Foundation Models (plot_load_pretrained_models.py)	00:54.745	3892.4
How to train, test and tune your model? (plot_how_train_test_and_tune.py)	00:41.690	1157.7
Hyperparameter tuning with scikit-learn (plot_hyperparameter_tuning_with_scikit-learn.py)	00:35.866	865.1
Comprehensive Preprocessing with MNE-based Classes (plot_preprocessing_classes.py)	00:22.679	865.6
Training a Braindecode model in PyTorch (plot_train_in_pure_pytorch_and_pytorch_lightning.py)	00:17.999	1108.0
Basic Brain Decoding on EEG Data (plot_bcic_iv_2a_moabb_trial.py)	00:16.371	993.5
Loading Pretrained Foundation Models on Arbitrary Channel Sets (plot_channel_interpolation.py)	00:09.646	1488.8
Convolutional neural network regression model on fake data. (plot_regression.py)	00:07.780	865.8
Simple training on MNE epochs (plot_basic_training_epochs.py)	00:04.834	1015.4