zubara / mneflow Goto Github PK
View Code? Open in Web Editor NEWNeural networks for EEG-MEG decoding with MNE-python and Tensorflow.
License: BSD 3-Clause "New" or "Revised" License
Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.
License: BSD 3-Clause "New" or "Revised" License
In the data.py file, the class_weights() function calculates class weights based on the key 'class proportions' but this key does not exist. The correct key is 'class_ratio' / 'class ratio'.
I am happy to make this correction, although I am not sure where the function is being used during training and perhaps the function is redundant.
python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [15 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.
Here is how to fix this error in the main use cases:
- use 'pip install scikit-learn' rather than 'pip install sklearn'
- replace 'sklearn' by 'scikit-learn' in your pip requirements files
(requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
- if the 'sklearn' package is used by one of your dependencies,
it would be great if you take some time to track which package uses
'sklearn' instead of 'scikit-learn' and report it to their issue tracker
- as a last resort, set the environment variable
SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
More information is available at
https://github.com/scikit-learn/sklearn-pypi-package
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