RelArena
RelArena benchmarks relational prediction models with shared temporal validation, tuning and reporting. It includes baseline models and adapters for RelBench tasks.
pip install relarena
relarena --list
Install TabPFN-Rel for benchmarking with a local or hosted backend:
pip install "relarena[tabpfn-rel-local]"
# Or: pip install "relarena[tabpfn-rel-api]"
relarena --model tabpfn-rel-local-latest --datasets rel-f1 --tasks driver-dnf --n-trials 1
This distribution depends on relarena-core. TabPFN-Rel is optional and can also
be installed directly as tabpfn-rel[local] or tabpfn-rel[api] for prediction on
user databases without the benchmark package.
TabPFN-Rel is developed in its own repository. See the repository README for model support, installation extras, cache usage and benchmark commands, and the contributor guide for workspace development.
3 maintainers
Metadata
3 maintainers
Release files for relarena 0.1.5
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