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Feature selector is a tool for dimensionality reduction of machine learning datasets

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https://explained.ai/rf-importance/ Are you aware of this method and its benefits? https://scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html?highlight=permutation#sklearn.inspection.permutation_importance Might be a slightly situation using gradient boosted trees, but still an interesting point to address if you could....

Hi Will, Thanks for your feature selector tool. It work fine for 2 classes feature selection. I have tried to use for 3 classes. It reports error as details. LightGBMError:...

when the machine learning task is regression,it will comes up following questions! ValueError: The least populated class in y has only 1 member, which is too few. The minimum number...

Code is stuck on pd.get_dummies line for hours

Hi there! Thanks so much for such good piece of work, it really helps! But recently an error raised when I use `identify_zero_importance`. It worked well when I turn off...

Need to proper packaging for pip. Its hard to install in Docker Container. dependence conflicts are annoying. The conflict is caused by: The user requested matplotlib==3.3.4 missingno 0.4.2 depends on...

Hi @WillKoehrsen ! Thanks for your time to contribute such a good package to the community, it's very handy and well documented. I am wondering if you could upload feature-selector...

can you clarify how you remove correlated features as written in https://towardsdatascience.com/a-feature-selection-tool-for-machine-learning-in-python-b64dd23710f0 For each pair of correlated features, it identifies one of the features for removal (since we only need...

When I tried the following: fs.identify_missing(missing_threshold = 0.6) I got the error. My data is all numerical, I am not sure why I got this error? AttributeError: 'str' object has...

Allows choosing `importance_type` (`split` and `gain` as in `lgbm` itself, or `permutation` based on `sklearn.inspection.permutation_importance`). Solves #43