TypeError: setup() got an unexpected keyword argument 'silent'

[HAKO411]

Code line: "setup(df, target=chosen_target,silent=True)"
I have "TypeError: setup() got an unexpected keyword argument 'silent'" problem when training the model.

When I delete "silent=True", I have another problem:
"Reason: tried: '/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/usr/local/opt/libomp/lib/libomp.dylib' (no such file), '/usr/local/lib/libomp.dylib' (no such file), '/usr/lib/libomp.dylib' (no such file, not in dyld cache)"

[Hugh-Kane]

The silent = True argument seems to have been removed in the latest version of PyCaret.

When removing this statement I was getting an error with ValueError: Cannot cast object dtype to float64 (which is slightly different to yours), but was fixed when using Python version 3.7.9, rather than 3.8 when coming across this post).

May also be trying here.

[ezra-ch]

same errors, havent tried the older python version tho

[ezra-ch]

okay so the trick is to set an environment to python 3.8 i used python 3.8.3 and use the requirements.txt in the repo
then you need to change the streamlit config.py like so dataFrameSerialization = "legacy"

The thing i dont like about this automatic modelling thing is that the best model is completely random. If you keep calling the modelling function it gives different accuracy values every time. And the best model varies everytime.