Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

DOC: remove useless .md notebooks, move calibration notebook in its own directory, remove it from classification examples #605

Merged
merged 1 commit into from
Jan 24, 2025
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion doc/notebooks_calibration.rst
Original file line number Diff line number Diff line change
Expand Up @@ -4,5 +4,5 @@ Calibration notebooks
The following examples present advanced analyses on multi-class calibration.


1. Top-label calibration for outputs of ML models : `notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/top_label_calibration.ipynb>`_
1. Top-label calibration for outputs of ML models : `notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/calibration/top_label_calibration.ipynb>`_
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
7 changes: 2 additions & 5 deletions doc/notebooks_classification.rst
Original file line number Diff line number Diff line change
@@ -1,13 +1,10 @@
Classification notebooks
========================

The following examples present advanced analyses on multi-class classification
problems for computer vision settings that are too heavy to be included in the example
The following example present an advanced analyse on multi-class classification
problem for computer vision settings that is too heavy to be included in the example
galleries.


1. Estimating prediction sets on the Cifar10 dataset : `cifar_notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/Cifar10.ipynb>`_
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------

2. Top-label calibration for outputs of ML models : `top_label_notebook <https://github.com/scikit-learn-contrib/MAPIE/tree/master/notebooks/classification/top_label_calibration.ipynb>`_
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Loading
Loading