settings.ini

[DEFAULT]
lib_name = learntorank
min_python = 3.8
version = 0.0.21
requirements = fastcore pandas ir_datasets pyvespa tensorflow tensorflow_ranking keras_tuner onnxruntime transformers torch<1.13 protobuf<3.21
dev_requirements = matplotlib<3.6 plotnine
nbs_path = .
doc_path = _docs
recursive = True
tst_flags = notest
host = github
repo = learntorank
branch = main
custom_sidebar = True
title = Vespa Data Science
audience = Developers
author = tmartins
author_email = tmartins@yahooinc.com
copyright = Put your copyright info here
description = Learning to rank library
keywords = nbdev
language = English
license = apache2
status = 2
user = thigm85
doc_host = https://thigm85.github.io
doc_baseurl = /learntorank/
git_url = https://github.com/vespa-engine/learntorank/
lib_path = learntorank
black_formatting = False
readme_nb = index.ipynb
allowed_metadata_keys = 
allowed_cell_metadata_keys = 
jupyter_hooks = True
clean_ids = True
clear_all = False
put_version_in_init = True