TypeError: Feature names are only supported if all input features have string names, but your input has ['int', 'str'] as feature name / column name types.

[ShevchenkoAlla]

Hello)
I have tried three binners separatly, metaba2 and maxbin2 finished successfully, but concuct keep getting me this error -

File "/mnt/nvme/tu/miniconda3/lib/python3.12/site-packages/sklearn/utils/validation.py", line 2417, in _get_feature_names
raise TypeError(
TypeError: Feature names are only supported if all input features have string names, but your input has ['int', 'str'] as feature name / column name types. If you want feature names to be stored and validated, you must convert them all to strings, by using X.columns = X.columns.astype(str) for example. Otherwise you can remove feature / column names from your input data, or convert them all to a non-string data type.

I used:
/mnt/nvme/tu/miniconda3/bin/metawrap binning -o /mnt/nvme/tu/polyfilter_results/INITIAL_BINNING -t 10 -a /mnt/nvme/tu/polyfilter_results/assembly_carpedeam/assembly_FP2_carpedeam.fasta --concoct /mnt/nvme/tu/polyfilter_results/CLEAN_READS_metawrap/*fastq

I would appreciate any help
Thank you,
Best,
Alla