I/EFS/tools/miniconda/envs/deepbgc2/lib/python3.7/site-packages/numpy/core/include. Wl,-sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC. So, I ran a simple pip install of the older package version: pip install scikit-learn=0.18.2įor some reason, the package downgrade failed and outputted the following error: error: Command "g++ -pthread -B /EFS/tools/miniconda/envs/deepbgc2/compiler_compat. This pointed me to the next logical solution of downgrading my current version of scikit-learn. This led me to believe that the program is trying to utilize an older version of the scikit-learn package ( version 0.18.2 instead of the currently installed 0.21.3 version) for this RandomForestClassifer estimator.
This might lead to breaking code or invalid results. UserWarning: Trying to unpickle estimator RandomForestClassifier from version 0.18.2 Now when I run the tool, the program works but it outputs the following warning message as a result: /EFS/tools/miniconda/envs/deepbgc2/lib/python3.7/site-packages/sklearn/base.py:306: Now I have created a conda environment and have currently installed deepbgc onto it. Requirement already satisfied: joblib>=1.0.0 in c:\users\gfernandez\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn) (1.2.I am trying to get the bioinformatics tool deepbgc up and running. Requirement already satisfied: threadpoolctl>=2.0.0 in c:\users\gfernandez\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn) (3.1.0) Requirement already satisfied: numpy>=1.17.3 in c:\users\gfernandez\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn) (1.23.4) Requirement already satisfied: scipy>=1.3.2 in c:\users\gfernandez\appdata\local\programs\python\python310\lib\site-packages (from scikit-learn) (1.9.3) Requirement already satisfied: scikit-learn in c:\users\gfernandez\appdata\local\programs\python\python310\lib\site-packages (1.1.3)
Using cached sklearn-0.0.post1-p圓-none-any.whlĬ:\Users\gfernandez>pip install scikit-learn In my experience this works: C:\Users\gfernandez>pip install sklearn Use pip install scikit-learn rather than pip install sklearn
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