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Python implementation of iterative-random-forests

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I tried just running pip install as stated in the README file but I got this error. Then I tried some things I saw on Stack Exchange but I am...

When trying to install the package from pip with `**pip install irf**` I get the following error message: Collecting irf Using cached irf-0.2.5.tar.gz (5.7 MB) Preparing metadata (setup.py) ... error...

Similar to #13 and likely for the same reason: When running the sample problem in README.md on `python==3.9.17, sklearn==1.1.1, irf==0.2.5` I get `TypeError: __init__() got an unexpected keyword argument 'min_impurity_split'`...

What are the standards for adjusting M and B parameters?

Can this package solve the multi classification problem?

hi, i followed the steps for installing but it failed with the following error ERROR: Command errored out with exit status 1: command: 'C:\Users\USER1\anaconda3\python.exe' -c 'import sys, setuptools, tokenize; sys.argv[0]...

Running package tests results in the following error (python version 3.6.12, sklearn 0.24.1, numpy 1.17.5, scipy 1.4.1, cython 0.29.22, pydotplus 2.0.2, matplotlib 3.0.3, jupyter 1.0.0, pyyaml 5.4.1): ``` ekravtchenko@server:~/iterative-Random-Forest$ python...

Hi , I have a small question about a line of code in get_tree_data(): https://github.com/Yu-Group/iterative-Random-Forest/blob/286d65b833c9167233d3d3bab625f6fd54d8c8b4/irf/utils.py#L192 This line , why do you have `all_features_idx` to retrive the node class information? I...