Skip to main content

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 --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.

Metadata

Release files for relarena 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for relarena 0.1.1
File Size Uploaded
relarena-0.1.1.tar.gz 125.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for relarena 0.1.1
File Interpreter ABI Platform
relarena-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 300.7 kB

Release files / relarena-0.1.1.tar.gz

Download URL relarena-0.1.1.tar.gz
Size 125.3 kB
Tags Source
SHA-256 checksum
How to use checksums
e8da9c1b3854f98f1dac5064c4a911685b4fcb922ff6fde8c7897449cb42d03d
BLAKE2b-256 checksum
How to use checksums
8feee56b9d1fe19c87b68e2d957e6a7b556aba902b4e92dc88d36106732a9929
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release files / relarena-0.1.1-py3-none-any.whl

Download URL relarena-0.1.1-py3-none-any.whl
Size 175.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b8e047f78172c5822b153e6dd51aebbd23001591c5b7c20e674001bcbf630f29
BLAKE2b-256 checksum
How to use checksums
42d6ae795660a2f94160820748d7200f02b716e9ebbc6ca0ee93247a16e1b42a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release history Release notifications | RSS feed

0.1.3

2 release files

0.1.2

2 release files

This release

0.1.1 This release

2 release files

0.1.0

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page