[MRG] Remove dependance of packaging (#287)

* add contributor guide

* remove dependance to packaging

* fix lint

* add dep in pyproject

pyproject.toml

@@ -17,7 +17,7 @@ readme = "README.md"
 dependencies = [
     "numpy >= 1.24",
     "scipy >= 1.10",
-    "scikit-learn >= 1.4.0",
+    "scikit-learn >= 1.5.0",
     "POT >= 0.9.3",
 ]
 keywords = ["domain-adaptation", "scikit-learn", "pytorch", 

requirements.txt

@@ -1,4 +1,4 @@
 numpy>=1.24
 scipy>=1.10
-scikit-learn>=1.4.0
+scikit-learn>=1.5.0
 pot>=0.9.0

skada/_utils.py

@@ -10,8 +10,6 @@
 from numbers import Real
 
 import numpy as np
-import sklearn
-from packaging.version import Version
 from sklearn.covariance import (
     empirical_covariance,
     ledoit_wolf,
@@ -21,8 +19,6 @@
 from sklearn.utils import check_random_state
 from sklearn.utils.multiclass import type_of_target
 
-_SKLEARN_OLDER_15 = Version(sklearn.__version__) >= Version("1.5.0")
-
 _logger = logging.getLogger("skada")
 _logger.setLevel(logging.DEBUG)
 
@@ -231,7 +227,4 @@ def _shuffle_arrays(*arrays, random_state=None):
 
 
 def _route_params(request, params, caller):
-    if _SKLEARN_OLDER_15:
-        return request._route_params(params=params, parent=caller, caller=caller)
-    else:
-        return request._route_params(params=params)
+    return request._route_params(params=params, parent=caller, caller=caller)