# RelBench benchmark for MovieLens 1M (same setup as relml C++ example)
#
# Requires Python >= 3.10 for relbench 2.x. If you have Python 3.8 or 3.9, use:
#   pip install "relbench>=0.2.0,<2.0" pandas numpy
#
# Core (dataset + task + metrics only):
relbench
pandas>=1.5.0
numpy>=1.23.0

# Optional: GNN modeling (PyTorch, PyG, torch-frame). Requires Python >= 3.10 for relbench 2.x:
# pip install relbench[full]
