boruta_py

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Implements sample_weight and optional permutation and SHAP importance, categorical features, boxplot

6

Hi, It took me a while but finally found the time to work on the continuation of the discussion https://github.com/scikit-learn-contrib/boruta_py/pull/77 Meaning: - Not introducing new dependencies, a check import is...

ThomasBury

Version update of Boruta on pypi?

5

Hello, I'd love to use new features like return_df in BorutaPy transform method, but can't with the latest version on pypi. Is there any chance that I can use soon?...

proexcuse

PKG for the survival analysis

6

Hi, I am trying to run the PKG for the survival analysis, keep having this issues, please help, thanks obj2

MoMaz123

ImportError: cannot import name 'BorutaPy' from 'boruta'

1

I download boruta's latest version through pypi (0.3 version) This error still occur (ImportError: cannot import name 'BorutaPy' from 'boruta' ) Is there any solution for this error? My Ubuntu...

soemthlng

max_iter values

3

Hi, Is there a way to find the optimal number for max_iter? I need to find it to reduce the runtime. thanks, Sac

sacmax

multi = ((n_feat * 2) / (np.sqrt(n_feat * 2) * depth)) n_estimators = int(multi * f_repr)

aichiyudemao

erikvdp

visualization - box plot like R-Cran package

3

Hi, I just wanted to check if there is a way to see the visualization of box-plot and Z-importance scores like R-CRAN package https://www.analyticsvidhya.com/blog/2016/03/select-important-variables-boruta-package/

bhaskatripathi

Does BorutaPy work with cuML RandomForestClassifier?

8

I tried running BorutaPy using cuML's RF classifier but I receive the following error: "ValueError: Bad param 'random_state' passed to set_params". Does BorutaPy work with cuML RandomForestClassifier? Ideally I'd like...

curtisraymond

# Use Shap to evaluate the feature importance in XGBoost models Shap is not available from the sklearn API to XGBoost so I added a wrapper around XGBoost to include...

gdupret