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Context:
I'm pretty new to automl-benchmark, so I was just trying to run some simple benchmarks according to the documentation. Along this line, I tried running python runbenchmark.py autogluon and I get the following error - the environment seems to fail in installing autogluon-tabular[skex].
Error:
ERROR: Cannot install autogluon-tabular[skex]==0.7.0, autogluon-tabular[skex]==0.8.0, autogluon-tabular[skex]==0.8.1, autogluon-tabular[skex]==0.8.2, autogluon-tabular[skex]==1.0.0 and autogluon-tabular[skex]==1.0.1b20240305 because these package versions have conflicting dependencies.
ERROR: ResolutionImpossible: forhelp visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
The conflict is caused by:
autogluon-tabular[skex] 1.0.1b20240305 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 1.0.0 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 1.0.1b20240305 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 0.8.2 depends on scikit-learn-intelex<2023.2 and >=2021.7; extra == "skex"
autogluon-tabular[skex] 1.0.1b20240305 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 0.8.1 depends on scikit-learn-intelex<2023.2 and >=2021.7; extra == "skex"
autogluon-tabular[skex] 1.0.1b20240305 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 0.8.0 depends on scikit-learn-intelex<2023.2 and >=2021.7; extra == "skex"
autogluon-tabular[skex] 1.0.1b20240305 depends on scikit-learn-intelex<2024.1 and >=2023.0; extra == "skex"
autogluon-tabular[skex] 0.7.0 depends on scikit-learn-intelex<2023.1 and >=2021.7; extra == "skex"
Is it possible for you to install autogluon independently of the benchmark? Based on the error message it looks like the conflicts are in the dependency graph of autogluon itself.
For everyone else (and future documentation): It's an Apple Silicon issue.
Reference: autogluon/autogluon#3965
It looks like the script would need to be updated to install through conda for apple silicon. Or maybe without installing skex? We don't officially support MacOS, so we don't really need to change anything per se.
Context:
I'm pretty new to automl-benchmark, so I was just trying to run some simple benchmarks according to the documentation. Along this line, I tried running
python runbenchmark.py autogluon
and I get the following error - the environment seems to fail in installing autogluon-tabular[skex].Error:
To reproduce:
System info:
Any guidance and help would be appreciated, thanks!!
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