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lsa-pucrs / acerta-abide

Deep learning using the ABIDE data
GNU General Public License v2.0
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Steps missing to run SVM and Random Forest #15

Open dewanshrawat15 opened 4 years ago

dewanshrawat15 commented 4 years ago

Hi there! I am an enthusiast so I just wanted to check out the results and wanted to run the repository. I wasn't able to find steps to reproduce to run the SVM or Random Forest Classifier. Any guidance regarding that would be really great! Also, I would like to mention that at some places the code is redundant to Python 2.

Thanks!

dewanshrawat15 commented 4 years ago

@anibalsolon @Siddharth-Shrivastava7 @ShekharDewan @meneguzzi

meneguzzi commented 4 years ago

Hi, @dewanshrawat15 , thank you for your interest in our work. You may have noticed that many of us have their Github user marked as having a slow response time (alas, we all have a number of tasks during the pandemic).

I believe the svm.py and random_forest.py scripts work exactly like nn_evaluate.py. Indeed, it would be helpful to add instructions to that effect to the README. Try running that code and let us know if it works for you. We'd be happy to accept a pull request with the updated instructions in the README

dewanshrawat15 commented 4 years ago

@meneguzzi thanks for your response. I will try to go through it, run it, and will update accordingly.