Learning to rank library
Project description
Vespa for Data Scientists
Motivation
This library contains application specific code related to data manipulation and analysis of different Vespa use cases. The Vespa python API is used to interact with Vespa applications from python for faster exploration.
The main goal of this space is to facilitate prototyping and experimentation for data scientists. Please visit Vespa sample apps for producuction-ready use cases and Vespa docs for in-depth Vespa documentation.
Install
Code to support and reproduce the usecases documented here can be found
in the learntorank library.
Install via PyPI:
pip install learntorank
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file learntorank-0.0.6.tar.gz.
File metadata
- Download URL: learntorank-0.0.6.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6a7b0f2f575e670f0dabb8a0c98c375924933a3aac892dccbac8404244e5b03a |
|
| MD5 | 2c9b25f86a69bf15ffe927cc35149e64 |
|
| BLAKE2b-256 | 0e645d56607bb7f6f6e61e5b10c5908a3d500fae70d2eaa3ec3a1e96f3fd4ada |
File details
Details for the file learntorank-0.0.6-py3-none-any.whl.
File metadata
- Download URL: learntorank-0.0.6-py3-none-any.whl
- Upload date:
- Size: 11.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 85abcc426c753adaa75f4869eb8b6dd34f9dbccd38918ad2bf613c268f4e8b97 |
|
| MD5 | c701b345d247a8e9e63065ee1655ddc5 |
|
| BLAKE2b-256 | 7efc80b116ead012a8b7d6f583bae5bc484e7b1bc017628ab835896216f5f7e1 |
