Sklearn API changes fix test 2

Author: KulikDM

docs/pythresh.thresholds.rst

@@ -228,7 +228,7 @@
 
 .. automodule:: pythresh.thresholds.meta
    :members:
-   :exclude-members: _wrap_around_discrepancy
+   :exclude-members: _patch_ridge, _wrap_around_discrepancy
    :undoc-members:
    :show-inheritance:
    :inherited-members:

pythresh/thresholds/meta.py

@@ -5,12 +5,15 @@
 import numpy as np
 import pandas as pd
 import scipy.stats as stats
+import sklearn
 from numba import njit, prange
 from sklearn.linear_model import RidgeClassifierCV
 from sklearn.preprocessing import MinMaxScaler
 
 from .base import BaseThresholder
 
+_NEEDS_CLASSES = tuple(map(int, sklearn.__version__.split('.')[:2])) >= (1, 8)
+
 
 class META(BaseThresholder):
     r"""META class for Meta-modelling thresholder.
@@ -115,14 +118,11 @@ def eval(self, decision):
         parent = up(up(__file__))
         model = joblib.load(os.path.join(parent, 'models', clf))
 
-        def _patch_ridge(est):
-            if isinstance(est, RidgeClassifierCV) and not hasattr(est, 'classes_'):
-                est.classes_ = np.array([0, 1])
-
+        # Sklearn 1.8.0 API patch
         for e in getattr(model, 'estimators_', {}).values():
-            _patch_ridge(e)
+            self._patch_ridge(e)
 
-        _patch_ridge(getattr(model, 'estimator', None))
+        self._patch_ridge(getattr(model, 'estimator', None))
 
         if self.method == 'GNBM':
 
@@ -184,6 +184,12 @@ def _patch_ridge(est):
 
         return lbls
 
+    @staticmethod
+    def _patch_ridge(est):
+        """RidgeClassifierCV classes_ attribute patch."""
+        if _NEEDS_CLASSES and isinstance(est, RidgeClassifierCV) and not hasattr(est, 'classes_'):
+            est.classes_ = np.array([0, 1])
+
     @staticmethod
     @njit(fastmath=True, parallel=True)
     def _wrap_around_discrepancy(data, check):