boruta_py
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Python implementations of the Boruta all-relevant feature selection method.
Total number of input feature = 681. `forest = RandomForestClassifier(n_jobs=-1, class_weight='balanced',max_depth=5); feat_selector = BorutaPy(forest, n_estimators='auto', verbose=2, random_state=7242, max_iter = 50, perc = 95); feat_selector.fit(X, y);` Sample output of a 50...
Poetry can't install the package without an explicit version. Hopefully this can be of help to someone else Cheers, Matteo
Do you intend to launch a new release with the corrections and improvements already implemented?
I found the process extremely slow when having many features. How can I speed up the process? Can I use the GPU to accelerate?
Hi. I am getting an error with the way the Boruta_py package is specified. Is this a problem my end or is there something you need to update? Thanks for...