numerai-tools

A collection of open-source tools to help interact with Numerai, model data, and automate submissions.

Installation

pip install numerai-tools

Structure

  • The scoring.py module contains critical functions used to score submissions. We use this code in our scoring system system. Leverage this to optimize your models for the tournaments.

    The Signals payout scores are built from two of its functions:

    • neutral_correlation ranks, gaussianizes, and neutralizes predictions against a neutralizer matrix, then correlates them with the target. Unlike numerai_corr it applies no 1.5 power, and unlike feature_neutral_corr it does not re-rank and re-power the predictions after neutralizing them.
    • neutral_contribution is correlation_contribution with that same neutralization step inserted after the rank/gaussianize step. It neutralizes the submissions only; pass a meta model that is already neutral.

  • The submissions.py module provides helper functions to ensure your submissions are valid and formatted correctly. Use this in your automated prediction pipelines to ensure uploads don't fail.

  • The signals.py module provides code specific to Numerai Signals such as churn and turnover. neutral_churn measures churn after applying each era's neutralizers, calculate_mean_neutral_churn averages that metric across the provided recent submissions, and neutral_churn_penalty calculates the positive-payout retention multiplier described by the Signals v3 churn penalty.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.7.2)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for joshterrill from gravatar.com joshterrill Avatar for ndharasz from gravatar.com ndharasz Avatar for numerai from gravatar.com numerai

Credits

Author: Numerai Engineering

License

MIT License (MIT)

Requires

Python >=3.11

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numerai_tools-0.7.1.tar.gz (15.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

numerai_tools-0.7.1-py3-none-any.whl (18.3 kB view details)

Uploaded Python 3

File details

Details for the file numerai_tools-0.7.1.tar.gz.

File metadata

  • Download URL: numerai_tools-0.7.1.tar.gz
  • Upload date:
  • Size: 15.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.3 CPython/3.14.7 Linux/6.17.0-1022-azure

File hashes

Hashes for numerai_tools-0.7.1.tar.gz
Algorithm Hash digest
SHA256 419f28d10d8a5236c2e3cca9f3837b9f207251b413ceab2b02dc855466f81dbf
MD5 1a99cebb1e353948661aa3117ada2bad
BLAKE2b-256 602db977c31221df33f606318c0c97f40252f8d708abec44b37d611ce620f9b2

See more details on using hashes here.

File details

Details for the file numerai_tools-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: numerai_tools-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 18.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.3 CPython/3.14.7 Linux/6.17.0-1022-azure

File hashes

Hashes for numerai_tools-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2ae9468579101e5cd84448e16cb924b6a11b337a287630472b1dfba6f2a52e94
MD5 8fcc2554513b54146bfd45ca1451559a
BLAKE2b-256 9627c10f9910a2a57785802e9bf5629faae0d0d04360dc9ccab876b48e63930d

See more details on using hashes here.

Release history Release notifications | RSS feed

0.7.2

2 files

This release

0.7.1 This release

2 files

0.7.0

2 files

Pre-release

0.6.1.dev1

2 files

0.6.0

2 files

Pre-release

0.6.0.dev0

2 files

0.5.3

2 files

0.5.2

2 files

Pre-release

0.5.2.dev1

2 files

0.5.1

2 files

0.5.0

2 files

Pre-release

0.5.0.dev13

2 files

Pre-release

0.5.0.dev12

2 files

Pre-release

0.5.0.dev11

2 files

Pre-release

0.5.0.dev10

2 files

Pre-release

0.5.0.dev9

2 files

Pre-release

0.5.0.dev8

2 files

Pre-release

0.5.0.dev7

2 files

Pre-release

0.5.0.dev6

2 files

Pre-release

0.5.0.dev5

2 files

Pre-release

0.5.0.dev4

2 files

Pre-release

0.5.0.dev3

2 files

Pre-release

0.5.0.dev2

2 files

Pre-release

0.5.0.dev1

2 files

Pre-release

0.5.0.dev0

2 files

0.4.3

2 files

0.4.2

2 files

Pre-release

0.4.2.dev1

2 files

Pre-release

0.4.2.dev0

2 files

0.4.1

2 files

0.4.0

2 files

Pre-release

0.4.0.dev2

2 files

Pre-release

0.4.0.dev1

2 files

Pre-release

0.4.0.dev0

2 files

0.3.3

2 files

0.3.1

2 files

0.3.0

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.1

2 files

0.1.0

2 files

0.0.20

2 files

0.0.19

2 files

0.0.18

2 files

0.0.17

2 files

0.0.16

2 files

0.0.15

2 files

0.0.14

2 files

0.0.13

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 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