scikit-learn FutureWarning

[cschu]

[...]/python3.9/site-packages/sklearn/utils/validation.py:63: FutureWarning: Arrays of bytes/strings is being converted to decimal numbers if dtype='numeric'. This behavior is deprecated in 0.24 and will be removed in 1.1 (renaming of 0.26). Please convert your data to numeric values explicitly instead. return f(*args, **kwargs)

conda environment used:

# platform: linux-64
@EXPLICIT
https://repo.anaconda.com/pkgs/main/linux-64/_libgcc_mutex-0.1-main.conda
https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-mkl.conda
https://repo.anaconda.com/pkgs/main/linux-64/ca-certificates-2021.1.19-h06a4308_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/intel-openmp-2020.2-254.conda
https://repo.anaconda.com/pkgs/main/linux-64/ld_impl_linux-64-2.33.1-h53a641e_7.conda
https://repo.anaconda.com/pkgs/main/linux-64/libgfortran-ng-7.3.0-hdf63c60_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-9.1.0-hdf63c60_0.conda
https://repo.anaconda.com/pkgs/main/noarch/tzdata-2020f-h52ac0ba_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-9.1.0-hdf63c60_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/mkl-2020.2-256.conda
https://conda.anaconda.org/bioconda/linux-64/easel-0.47-h516909a_0.tar.bz2
https://conda.anaconda.org/bioconda/linux-64/hmmer-3.3.2-he1b5a44_0.tar.bz2
https://conda.anaconda.org/bioconda/linux-64/infernal-1.1.3-h516909a_0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.3-he6710b0_2.conda
https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.2-he6710b0_1.conda
https://repo.anaconda.com/pkgs/main/linux-64/openssl-1.1.1j-h27cfd23_0.conda
https://conda.anaconda.org/bioconda/linux-64/prodigal-2.6.3-h516909a_2.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/xz-5.2.5-h7b6447c_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/zlib-1.2.11-h7b6447c_3.conda
https://repo.anaconda.com/pkgs/main/linux-64/hdf5-1.10.6-hb1b8bf9_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/libedit-3.1.20191231-h14c3975_1.conda
https://repo.anaconda.com/pkgs/main/linux-64/readline-8.1-h27cfd23_0.conda
https://conda.anaconda.org/bioconda/linux-64/seqtk-1.3-hed695b0_2.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.10-hbc83047_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.33.0-h62c20be_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/python-3.9.1-hdb3f193_2.conda
https://repo.anaconda.com/pkgs/main/linux-64/certifi-2020.12.5-py39h06a4308_0.conda
https://repo.anaconda.com/pkgs/main/noarch/pytz-2021.1-pyhd3eb1b0_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/regex-2020.11.13-py39h27cfd23_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/six-1.15.0-py39h06a4308_0.conda
https://repo.anaconda.com/pkgs/main/noarch/threadpoolctl-2.1.0-pyh5ca1d4c_0.conda
https://repo.anaconda.com/pkgs/main/noarch/wheel-0.36.2-pyhd3eb1b0_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/mkl-service-2.3.0-py39he8ac12f_0.conda
https://repo.anaconda.com/pkgs/main/noarch/python-dateutil-2.8.1-pyhd3eb1b0_0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/setuptools-52.0.0-py39h06a4308_0.conda
https://repo.anaconda.com/pkgs/main/noarch/joblib-1.0.1-pyhd3eb1b0_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/numpy-base-1.19.2-py39h2ae0177_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/pip-21.0.1-py39h06a4308_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/mkl_random-1.0.2-py39h63df603_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/h5py-2.10.0-py39hec9cf62_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/mkl_fft-1.3.0-py39h54f3939_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/numpy-1.19.2-py39h89c1606_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/pandas-1.2.3-py39ha9443f7_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/scipy-1.6.1-py39h91f5cce_0.conda
https://repo.anaconda.com/pkgs/main/linux-64/scikit-learn-0.24.1-py39ha9443f7_0.conda