Skip to main content

Reports for the Numerai machine learning competition

Project description

Build Status codecov Requirements Status

Numerai Reports

Collection of reports about the numer.ai machine learning competition.

This library was created to provide some reports and statistics about the competition, like round summaries and payout summaries, but also tools to analyze one's model performance. For now, all reports are pure numeric reports.

All information is retrieved via numerai's API and converted to pandas DataFrames, to make it easy to work with. This allows to create your own reports on top. numerai_reports also caches API results to disk to limit the amount of request and to speed-up report generation.

If you encounter a problem or have suggestions, feel free to open an issue.

Installation

pip install --upgrade numerai_reports

Usage

Numerai_reports can be used as a regular, importable Python module or from the command line (TODO).

Python module

Usage example:

from numerai_reports import reports
print(reports.payments("slyfox", 160, 165))
print(reports.reputation("slyfox", 160, 165))
print(reports.pass_rate(160, 165))
print(reports.out_of_n(160, 165))
print(reports.dominance("uuazed", 160, 165))

Project details


Download files

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

Files for numerai-reports, version 0.3.4
Filename, size File type Python version Upload date Hashes
Filename, size numerai_reports-0.3.4-py3-none-any.whl (10.6 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size numerai_reports-0.3.4.tar.gz (8.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page