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 Example
from numerai_reports import reports
print(reports.most_top_models())
print(reports.medals_leaderboard())
print(reports.medals_leaderboard(orderby="gold"))
print(reports.payouts(reports.models_of_account("uuazed")))
1 maintainer
Metadata
1 maintainer
Release files for numerai-reports 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numerai_reports-0.5.1.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numerai_reports-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.8 kB
Release files / numerai_reports-0.5.1.tar.gz
| Download URL | numerai_reports-0.5.1.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
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Release files / numerai_reports-0.5.1-py3-none-any.whl
| Download URL | numerai_reports-0.5.1-py3-none-any.whl |
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| Tags | Python 3 |
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