FastRank 
My most frequently used learning-to-rank algorithms ported to rust for efficiency.
Read my blog-post announcing the first public version: 0.4. It's alpha because I think the API needs work, not because there's any sort of known correctness or compatiblity issues.
Python Requirements / Release History
- 0.5 and earlier require only Python 3.5, but no windows builds were pushed.
- 0.6 requires Python 3.6 due to EOL for Python 3.5 becoming prevalent in the latest pip.
- 0.6.1 switched to manylinux2010 building; you might get better vectorization from a local copy.
- 0.7 maintains the requirement of Python 3.6
- 0.8 and forward will require Python 3.7 so we can use the standard @dataclass annotation and drop the attrs dependency.
Python Usage
pip install fastrank
See this Colab notebook for more, or see a static version here on Github.
1 maintainer
Metadata
1 maintainer
Release files for fastrank 0.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fastrank-0.8.0.tar.gz | 55.8 kB | Without provenance | Details for fastrank-0.8.0.tar.gz |
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| fastrank-0.8.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details for fastrank-0.8.0-py3-none-win_amd64.whl |
| fastrank-0.8.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details for fastrank-0.8.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| fastrank-0.8.0-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl | Python 3 | none | macOS 10.9+ universal2 (ARM64, x86-64), macOS 11.0+ ARM64, macOS 10.9+ x86-64 | Details for fastrank-0.8.0-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl |
| fastrank-0.8.0-py3-none-macosx_10_7_x86_64.whl | Python 3 | none | macOS 10.7+ x86-64 | Details for fastrank-0.8.0-py3-none-macosx_10_7_x86_64.whl |
Total release size: 6.0 MB
Release files / fastrank-0.8.0.tar.gz
| Download URL | fastrank-0.8.0.tar.gz |
|---|---|
| Size | 55.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4c83428bb27820a59378b44d3b6a2e559e3e3c92001dc1242ce9ed91826f190c
|
|
BLAKE2b-256 checksum How to use checksums |
a123fcd37f454bbf01d53b8c2a62b33c9d7f57bb745ac083249a580158ea9dc4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Release files / fastrank-0.8.0-py3-none-win_amd64.whl
| Download URL | fastrank-0.8.0-py3-none-win_amd64.whl |
|---|---|
| Size | 690.6 kB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
9bb1b545e4ed44b01c29060f4e346e8660783c171ae0847f614e6906c8d08280
|
|
BLAKE2b-256 checksum How to use checksums |
764fd64e47cfb77413e44a7ead0b5c4b659e3e931b26be8b92ea8066833d721c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Release files / fastrank-0.8.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | fastrank-0.8.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 2.0 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
56165ac6a3e4eff93f66fd17b481b46d005ad054ed864e7c96d85e843e8de639
|
|
BLAKE2b-256 checksum How to use checksums |
86e48102f055dc1077c90e63e4af40d476b9bc96357088b73eb09fab841f5b8c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Release files / fastrank-0.8.0-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
| Download URL | fastrank-0.8.0-py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl |
|---|---|
| Size | 2.2 MB |
| Tags | Python 3 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
c7901b98998051c60da71ca0afcc272545bdba97eb898419635aff8e8a5abe09
|
|
BLAKE2b-256 checksum How to use checksums |
c01497ecf03788bc18194964de42976e0b0e9817716dd7c3988ba9b2965f4cb8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Release files / fastrank-0.8.0-py3-none-macosx_10_7_x86_64.whl
| Download URL | fastrank-0.8.0-py3-none-macosx_10_7_x86_64.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 macOS 10.7+ x86-64 |
|
SHA-256 checksum How to use checksums |
c3fc2315a904e3418d7e994eb79a79447178e9b2bd4e37cee094cb4c380756c6
|
|
BLAKE2b-256 checksum How to use checksums |
b1e4378310f5d104fd417836fad0475fa5a17793524923fa73b6977e1977e1ba
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Security for fastrank 0.8.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
