settings.ini

[DEFAULT]
lib_name = misas
min_python = 3.7
version = 0.1.1
requirements = matplotlib pillow altair pydicom torchio
dev_requirements = fastai tensorflow kornia scikit-image ipywidgets
nbs_path = .
doc_path = _docs
recursive = False
tst_flags = notest
host = github
repo = misas
branch = master
custom_sidebar = False
custom_quarto_yml = False
audience = Developers
author = Markus J. Ankenbrand
author_email = markus.ankenbrand@uni-wuerzburg.de
copyright = Markus J. Ankenbrand
description = Model Interpretation through Sensitivity Analysis for Segmentation
keywords = interpretability, explainability, machine learning, sensitivity, augmentation
language = English
license = mit
status = 2
user = chfc-cmi
doc_host = https://chfc-cmi.github.io
doc_baseurl = /misas/
git_url = https://github.com/chfc-cmi/misas/
lib_path = misas
title = misas
black_formatting = False
readme_nb = index.ipynb
allowed_metadata_keys = 
allowed_cell_metadata_keys = 
jupyter_hooks = True
clean_ids = True