moabb.set_log_level

moabb.set_log_level(level='INFO')

Set log level.

Set the general log level. Use one of the levels supported by python logging, i.e.: DEBUG, INFO, WARNING, ERROR, CRITICAL

Examples using moabb.set_log_level

Benchmarking with MOABB showing the CO2 footprint

Benchmarking with MOABB showing the CO2 footprint

Load Model (Scikit, Pytorch, Keras) with MOABB

Load Model (Scikit, Pytorch, Keras) with MOABB

Convert a MOABB dataset to BIDS

Convert a MOABB dataset to BIDS

Hinss2021 classification example

Hinss2021 classification example

Examples of how to use MOABB to benchmark pipelines.

Examples of how to use MOABB to benchmark pipelines.

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 with MOABB with Grid Search

Benchmarking with MOABB with Grid Search

Cross-Session Motor Imagery

Cross-Session Motor Imagery

Cross-Session on Multiple Datasets

Cross-Session on Multiple Datasets

Cross-Subject SSVEP

Cross-Subject SSVEP

Cache on disk intermediate data processing states

Cache on disk intermediate data processing states

Fixed interval windows processing

Fixed interval windows processing

Within Session P300

Within Session P300

Within Session SSVEP

Within Session SSVEP

FilterBank CSP versus CSP

FilterBank CSP versus CSP

MNE Epochs-based pipelines

MNE Epochs-based pipelines

Statistical Analysis

Statistical Analysis

Within Session P300 with Learning Curve

Within Session P300 with Learning Curve

Within Session Motor Imagery with Learning Curve

Within Session Motor Imagery with Learning Curve

Within Session P300 with Learning Curve

Within Session P300 with Learning Curve

Tutorial 0: Getting Started

Tutorial 0: Getting Started

Tutorial 1: Simple Motor Imagery

Tutorial 1: Simple Motor Imagery

Tutorial 2: Using multiple datasets

Tutorial 2: Using multiple datasets

Tutorial 3: Benchmarking multiple pipelines

Tutorial 3: Benchmarking multiple pipelines