Select Electrodes and Resampling

Within paradigm, it is possible to restrict analysis only to a subset of electrodes and to resample to a specific sampling rate. There is also a utility function to select common electrodes shared between datasets. This tutorial demonstrates how to use this functionality.

# Authors: Sylvain Chevallier <sylvain.chevallier@uvsq.fr>
#
# License: BSD (3-clause)
import matplotlib.pyplot as plt
from mne.decoding import CSP
from pyriemann.estimation import Covariances
from pyriemann.tangentspace import TangentSpace
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
from sklearn.linear_model import LogisticRegression as LR
from sklearn.pipeline import make_pipeline

import moabb.analysis.plotting as moabb_plt
from moabb.analysis.chance_level import chance_by_chance
from moabb.datasets import BNCI2014_001, Zhou2016
from moabb.datasets.utils import find_intersecting_channels
from moabb.evaluations import WithinSessionEvaluation
from moabb.paradigms import LeftRightImagery

Datasets

Load 2 subjects of BNCI 2014-004 and Zhou2016 datasets, with 2 sessions each

subj = [1, 2]
datasets = [Zhou2016(), BNCI2014_001()]
for d in datasets:
    d.subject_list = subj

Paradigm

Restrict further analysis to specified channels, here C3, C4, and Cz. Also, use a specific resampling. In this example, all datasets are set to 200 Hz.

paradigm = LeftRightImagery(channels=["C3", "C4", "Cz"], resample=200.0)

Evaluation

The evaluation is conducted on with CSP+LDA, only on the 3 electrodes, with a sampling rate of 200 Hz.

evaluation = WithinSessionEvaluation(paradigm=paradigm, datasets=datasets)
csp_lda = make_pipeline(CSP(n_components=2), LDA())
ts_lr = make_pipeline(
    Covariances(estimator="oas"), TangentSpace(metric="riemann"), LR(C=1.0)
)
results = evaluation.process({"csp+lda": csp_lda, "ts+lr": ts_lr})
print(results.head())

Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 305249  =      0.000 ...  1220.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 430499  =      0.000 ...  1721.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 252749  =      0.000 ...  1010.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 296749  =      0.000 ...  1186.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 233249  =      0.000 ...   932.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 226249  =      0.000 ...   904.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 227749  =      0.000 ...   910.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 216249  =      0.000 ...   864.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 213999  =      0.000 ...   855.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 175499  =      0.000 ...   701.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 213249  =      0.000 ...   852.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 217749  =      0.000 ...   870.996 secs...
[codecarbon WARNING @ 16:02:57] Multiple instances of codecarbon are allowed to run at the same time.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.8 (2.2e-16 eps * 3 dim * 2.7e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
/home/runner/work/moabb/moabb/moabb/analysis/results.py:189: H5pyDeprecationWarning: Creating a dataset without passing data or dtype is deprecated. Pass an explicit dtype. Using dtype='f4' will keep the current default behaviour.
  dset.create_dataset(
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.8 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.8 (2.2e-16 eps * 3 dim * 4.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.8 (2.2e-16 eps * 3 dim * 4.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
/home/runner/work/moabb/moabb/moabb/analysis/results.py:189: H5pyDeprecationWarning: Creating a dataset without passing data or dtype is deprecated. Pass an explicit dtype. Using dtype='f4' will keep the current default behaviour.
  dset.create_dataset(
     score      time  samples  ...   dataset  pipeline  codecarbon_task_name
0  0.91000  0.030894    100.0  ...  Zhou2016     ts+lr
1  0.80000  0.031886     90.0  ...  Zhou2016     ts+lr
2  0.92200  0.039292    100.0  ...  Zhou2016     ts+lr
3  0.90600  0.039651    100.0  ...  Zhou2016     ts+lr
4  0.84596  0.039141    119.0  ...  Zhou2016     ts+lr

[5 rows x 13 columns]

Electrode Selection

It is possible to select the electrodes that are shared by all datasets using the find_intersecting_channels function. Datasets that have 0 overlap with others are discarded. It returns the set of common channels, as well as the list of datasets with valid channels.

electrodes, datasets = find_intersecting_channels(datasets)
evaluation = WithinSessionEvaluation(
    paradigm=paradigm, datasets=datasets, overwrite=True, suffix="resample"
)
results = evaluation.process({"csp+lda": csp_lda, "ts+lr": ts_lr})
print(results.head())

Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 305249  =      0.000 ...  1220.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 430499  =      0.000 ...  1721.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 252749  =      0.000 ...  1010.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 296749  =      0.000 ...  1186.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 233249  =      0.000 ...   932.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 226249  =      0.000 ...   904.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 305249  =      0.000 ...  1220.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-0/eeg/sub-1_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 430499  =      0.000 ...  1721.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 252749  =      0.000 ...  1010.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-1/eeg/sub-1_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 296749  =      0.000 ...  1186.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 233249  =      0.000 ...   932.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-1/ses-2/eeg/sub-1_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 226249  =      0.000 ...   904.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 227749  =      0.000 ...   910.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-0/eeg/sub-2_ses-0_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 216249  =      0.000 ...   864.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 213999  =      0.000 ...   855.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-1/eeg/sub-2_ses-1_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 175499  =      0.000 ...   701.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-0_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 213249  =      0.000 ...   852.996 secs...
Extracting EDF parameters from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_eeg.edf...
Setting channel info structure...
Creating raw.info structure...
Reading events from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_events.tsv.
Reading channel info from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_task-imagery_run-1_desc-975305b80f8ef1ae6b60536eec26dff2_channels.tsv.
Reading electrode coords from /home/runner/work/moabb/moabb/mne_data/MNE-BIDS-zhou2016/sub-2/ses-2/eeg/sub-2_ses-2_space-CapTrak_electrodes.tsv.
Not fully anonymizing info - keeping hand, his_id, sex of subject_info
Reading 0 ... 217749  =      0.000 ...   870.996 secs...
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.8 (2.2e-16 eps * 3 dim * 2.7e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3.1e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3.1e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2 (2.2e-16 eps * 3 dim * 3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 0.99 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1 (2.2e-16 eps * 3 dim * 1.5e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
/home/runner/work/moabb/moabb/moabb/analysis/results.py:189: H5pyDeprecationWarning: Creating a dataset without passing data or dtype is deprecated. Pass an explicit dtype. Using dtype='f4' will keep the current default behaviour.
  dset.create_dataset(
Computing rank from data with rank=None
    Using tolerance 1.8 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.8 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.7 (2.2e-16 eps * 3 dim * 2.6e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.8 (2.2e-16 eps * 3 dim * 4.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.8 (2.2e-16 eps * 3 dim * 4.2e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 2.9 (2.2e-16 eps * 3 dim * 4.4e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.6 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
Computing rank from data with rank=None
    Using tolerance 1.5 (2.2e-16 eps * 3 dim * 2.3e+15  max singular value)
    Estimated rank (data): 3
    data: rank 3 computed from 3 data channels with 0 projectors
Reducing data rank from 3 -> 3
Estimating class=0 covariance using EMPIRICAL
Done.
Estimating class=1 covariance using EMPIRICAL
Done.
/home/runner/work/moabb/moabb/moabb/analysis/results.py:189: H5pyDeprecationWarning: Creating a dataset without passing data or dtype is deprecated. Pass an explicit dtype. Using dtype='f4' will keep the current default behaviour.
  dset.create_dataset(
      score      time  samples  ...   dataset  pipeline  codecarbon_task_name
0  0.956000  0.026926    100.0  ...  Zhou2016     ts+lr
1  0.922000  0.027288    100.0  ...  Zhou2016     ts+lr
2  0.840278  0.032091    119.0  ...  Zhou2016     ts+lr
3  0.906000  0.027615    100.0  ...  Zhou2016     ts+lr
4  0.924000  0.028619    100.0  ...  Zhou2016     ts+lr

[5 rows x 13 columns]

Plot Results

Compare the obtained results with the two pipelines, CSP+LDA and logistic regression computed in the tangent space of the covariance matrices.

chance_levels = chance_by_chance(results, alpha=[0.05, 0.01])

fig = moabb_plt.paired_plot(results, "csp+lda", "ts+lr", chance_level=chance_levels)
plt.show()