Bump version: 0.9.2 → 1.0.0-alpha1

scikit-learn-contrib · Jan 23, 2025 · 4f92e68 · 4f92e68
1 parent e72dd27
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diff --git a/CITATION.cff b/CITATION.cff
@@ -5,7 +5,7 @@ authors:
   given-names: "Thibault"
   orcid: "https://orcid.org/0000-0000-0000-0000"
 title: "MAPIE - Model Agnostic Prediction Interval Estimator"
-version: 0.9.2
+version: 1.0.0-alpha1
 date-released: 2019-04-30
 url: "https://github.com/scikit-learn-contrib/MAPIE"
 preferred-citation:

diff --git a/README.rst b/README.rst
@@ -105,7 +105,7 @@ As **MAPIE** is compatible with the standard scikit-learn API, you can see that
 - How easy it is **to wrap your favorite scikit-learn-compatible model** around your model.
 - How easy it is **to follow the standard sequential** ``fit`` and ``predict`` process like any scikit-learn estimator.
 
-.. testcode::
+.. code:: python
 
     # Uncertainty quantification for regression problem
     import numpy as np

diff --git a/doc/conf.py b/doc/conf.py
@@ -92,7 +92,7 @@
 # built documents.
 #
 # The short X.Y version.
-version = "0.9.2"
+version = "1.0.0-alpha1"
 # The full version, including alpha/beta/rc tags.
 release = version
 

diff --git a/mapie_v1/_version.py b/mapie_v1/_version.py
@@ -1 +1 @@
-__version__ = "1.0.0"
+__version__ = "1.0.0-alpha1"
diff --git a/setup.py b/setup.py
@@ -3,7 +3,7 @@
 from setuptools import find_packages, setup
 
 DISTNAME = "MAPIE"
-VERSION = "0.9.2"
+VERSION = "1.0.0-alpha1"
 DESCRIPTION = (
     "A scikit-learn-compatible module "
     "for estimating prediction intervals."
Original file line number	Diff line number	Diff line change
		@@ -1 +1 @@
		__version__ = "1.0.0"
		__version__ = "1.0.0-alpha1"