Closed johnkylecooper closed 1 year ago
Merging #69 (b36c564) into master (d9326e7) will not change coverage. The diff coverage is
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.:exclamation: Current head b36c564 differs from pull request most recent head 7411f0a. Consider uploading reports for the commit 7411f0a to get more accurate results
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Hi, I'm happy to see that my pr has passed all but one of the tests. With regards to the test that failed, I'm not sure I can fix it on my end. Here is the error:
remote: Permission to nbara/python-meegkit.git denied to github-actions[bot].
fatal: unable to access 'https://github.com/nbara/python-meegkit/': The requested URL returned error: 403
Best, John Kyle
Hey John, thanks for this! I will have a look asap. The doc build job should be an easy fix
Hi @johnkylecooper, the example looks great.
FWIW, you don't need to generate both the example_*.ipynb
example AND the example_*.py
files.
Just do you code in the .py file, and run make build-examples
and the notebooks will be automatically generated from the .py files (including headers and sections).
Again, thanks for the contribution. I don't use the code in meegkit
that much these days for my own work but I'm happy to keep maintaining it if it helps others 🙂
PS: the doc build fails it comes from a fork. It's a CI bug, nothing to do with your example.
https://nbara.github.io/python-meegkit/auto_examples/example_mcca_2.html#sphx-glr-auto-examples-example-mcca-2-py looking good ! ;)
Thanks! :)
Hi @johnkylecooper, the example looks great.
FWIW, you don't need to generate both the
example_*.ipynb
example AND theexample_*.py
files.Just do you code in the .py file, and run
make build-examples
and the notebooks will be automatically generated from the .py files (including headers and sections).Again, thanks for the contribution. I don't use the code in
meegkit
that much these days for my own work but I'm happy to keep maintaining it if it helps others 🙂PS: the doc build fails it comes from a fork. It's a CI bug, nothing to do with your example.
Also, thanks for the tips! :) Yes, I mainly use meegkit for the preprocessing tools (for eeg recordings) and now mcca. It's very handy! I have a lot of respect for you guys who maintain open-source projects! I hope to be able to contribute more to projects in the future!
Going to delete my branch and delete the fork now.
Best, John Kyle
Hi, thanks for the amazing toolbox! I would like to add an additional example using the MCCA implementation in python-meegkit since I was initially having trouble understanding how the implementation is used to extract an underlying signal from concatenated data matrices. Maybe this will help others when applying more complex signals to the MCCA function. The example is example #1 taken from de Cheveigné et al., 2018. I believe that the code is correct and reproduces the results shown in Figure 4. Note: this is my first pull request, so I apologize in advance if anything isn't properly implemented.