![]() ![]() WARNING: No metadata found in /EFS/tools/miniconda/envs/deepbgc2/lib/python3.7/site-packages Note: This error originates from a subprocess, and is likely not a problem with pip. Sklearn/cluster/_dbscan_inner.cpp -o build/temp.linux-x86_64-cpython-ģ7/sklearn/cluster/_dbscan_inner.o -MMD -MF build/temp.linux-x86_64-cpython-ģ7/sklearn/cluster/_dbscan_inner.o.d" failed with exit status 1 I/EFS/tools/miniconda/envs/deepbgc2/include/python3.7m -c 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. I am trying to get the bioinformatics tool deepbgc up and running. ![]()
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