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1 change: 1 addition & 0 deletions HISTORY.rst
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Expand Up @@ -5,6 +5,7 @@ History
1.x.x (2025-xx-xx)
------------------

* Add link to Thibault Cordier's repository on risk control
* Fix double inference when using `predict_set` function in split conformal classification
* Add FAQ entry in the documentation about ongoing works to extend MAPIE for LLM control
* MAPIE now supports Python versions up to the latest release (currently 3.13)
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10 changes: 10 additions & 0 deletions doc/external_risk_control_package.rst
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.. _external_risk_control_package:

####################################################
Additional resources: external risk control package
####################################################

In addition to the methods implemented in MAPIE, we link to an external `repository <https://github.com/thibaultcordier/risk-control>`_ dedicated to risk control, developed by Thibault Cordier.
This package implements the Learn-Then-Test (LTT) method and applies it to both regression and classification tasks. It also supports multi-risk and multi-threshold settings, therefore offering a comprehensive and flexible framework for a wide range of risk control scenarios.

.. important:: Please note that this repository is independent from MAPIE and is not maintained by the MAPIE team.
1 change: 1 addition & 0 deletions doc/index.rst
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theoretical_description_risk_control
examples_multilabel_classification/1-quickstart/plot_tutorial_risk_control
notebooks_risk_control
external_risk_control_package

.. toctree::
:maxdepth: 2
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7 changes: 7 additions & 0 deletions doc/v1_release_notes.rst
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Expand Up @@ -76,6 +76,13 @@ We no longer officially support Python versions between 3.7 and 3.9, and NumPy v
- Python <3.9
- scikit-learn <1.4, provided SciPy <=1.10

Documentation changes
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Maybe too specific to mention it here

----------------------

New content has been added to the documentation:

- The link to Thibault Cordier's repository on risk control has been added to the risk control section.

.. _detail_API_changes:

API changes in detail
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