Alexandre Gramfort
Alexandre Gramfort
> > ok, sounds like a plan.. I can start working on this again soon, if you > give a go @agramfort @drammock > @larsoner Message > ID: ***@***.***> >...
@timnaher I see. What I had in mind is this: ``` from pyriemann.utils import distance import numpy as np A = np.random.randn(100, 10, 10) B = np.random.randn(100, 10, 10) dists...
and if you avoid the for loop over samples it should be even faster. > Message ID: ***@***.***> >
take a look at something like this: ```python import matplotlib.pyplot as plt import numpy as np import pandas as pd from sklearn.model_selection import cross_val_score, StratifiedKFold from sklearn.compose import ColumnTransformer from...
thanks @timnaher !
cc @apmellot @antoinecollas
@richardkoehler sorry it took me so long to look. Yes I can replicate the problem. Basically in the QT browser you cannot mark the last sample as bad. The annotation...
@PierreGtch do you know about epochs metadata ? https://mne.tools/stable/auto_tutorials/epochs/30_epochs_metadata.html one challenge is to make sure the object can be serialized in fif for saving.
if it's a metadata attribute of the object that is a dataframe it means you cannot save it as csv/txt anyone. You would need to rely on .fif to save...
do you know a project that does this? so we can copy the way they do it... >