Metadata-Version: 2.1
Name: learntorank
Version: 0.0.8
Summary: Learning to rank library
Home-page: https://github.com/thigm85/learntorank/
Author: tmartins
Author-email: thigm85@gmail.com
License: Apache Software License 2.0
Keywords: nbdev
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

Vespa for Data Scientists
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

## Motivation

This library contains application specific code related to data
manipulation and analysis of different Vespa use cases. The [Vespa
python API](https://pyvespa.readthedocs.io/) 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](https://github.com/vespa-engine/sample-apps/) for
producuction-ready use cases and [Vespa docs](https://docs.vespa.ai/)
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`
