confound_prediction
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Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Hello, Thank you very much for tackling this issue of confounders, which seems very recurrent in clinical ML problems. I have some questions about the project/paper: 1. I am wondering...
Hi Darya Chyzhyk, Is it possible to use your package to control for categorical variables? (I have 10-20 categories)... If so, any tips on how to do so? Thanks!
Make confound_isolating_cv compatible with Scikit Learn cross validation
I find it very important that examples are visual.
print ___doc___ at the beginning of the example I would show the samples in a scatter plot to make it clear that you are sampling points from a dataset. Less...
I'd rather put the simulated_data in the library, e.g. in a '_utils.py' module, otherwise, people will not understand what this stands for.
"Confound_prediction is a Python module to control confound effect in the prediction or classification model." -> "Confound_prediction is a Python module to control confound effect in prediction or classification models."...