THU-Coursework-Machine-Learning-for-Big-Data/settings.ini at main · Open-Book-Studio/THU-Coursework-Machine-Learning-for-Big-Data · GitHub

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[DEFAULT]
repo = THU-Coursework-Machine-Learning-for-Big-Data
lib_name = thu_big_data_ml
version = 0.0.2
min_python = 3.7
license = apache2
black_formatting = False
doc_path = docs
lib_path = thu_big_data_ml
nbs_path = notebooks
recursive = True
tst_flags = notest
put_version_in_init = True
branch = main
custom_sidebar = False
doc_host = https://Open-Book-Studio.github.io
doc_baseurl = /THU-Coursework-Machine-Learning-for-Big-Data
git_url = https://github.com/Open-Book-Studio/THU-Coursework-Machine-Learning-for-Big-Data
title = THU-Coursework-Machine-Learning-for-Big-Data
audience = Developers
author = 叶璨铭
author_email = ycm24@mails.tsinghua.edu.cn
copyright = 2024 onwards, 叶璨铭
description = 这是本人学习清华大学70240403-200大数据机器学习课程的开源工作，包括对往期Assignment的实现、对Lecture的笔记与理解、对即将来的Project的实现等，欢迎各位同学一起学习一起讨论，对知识取得更好的理解。
keywords = nbdev jupyter notebook python
language = English
status = 3
user = Open-Book-Studio
requirements = fastcore pandas matplotlib seaborn openpyxl scipy statsmodels ipywidgets chardet
dev_requirements = ipykernel nbdev ray \
	optuna plotly nbformat \
	scikit-posthocs scikit-plot mlxtend \
	networkx

conda_user = yecanming6666
readme_nb = index.ipynb
allowed_metadata_keys =
allowed_cell_metadata_keys =
jupyter_hooks = False
clean_ids = True
clear_all = False
cell_number = True
skip_procs =