MAINT parameter validation metrics.class_likelihood_ratios (#25863)

pooja-subramaniam · jeremiedbb · web-flow · commit 36bb7e56ab73 · 2023-03-15T19:10:29.000+01:00
Co-authored-by: Jérémie du Boisberranger &lt;34657725+jeremiedbb@users.noreply.github.com&gt;
diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
@@ -1761,6 +1761,15 @@ def precision_recall_fscore_support(
     return precision, recall, f_score, true_sum
 
 
+@validate_params(
+    {
+        "y_true": ["array-like", "sparse matrix"],
+        "y_pred": ["array-like", "sparse matrix"],
+        "labels": ["array-like", None],
+        "sample_weight": ["array-like", None],
+        "raise_warning": ["boolean"],
+    }
+)
 def class_likelihood_ratios(
     y_true,
     y_pred,
diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py
@@ -133,6 +133,7 @@ def _check_function_param_validation(
     "sklearn.metrics.average_precision_score",
     "sklearn.metrics.balanced_accuracy_score",
     "sklearn.metrics.brier_score_loss",
+    "sklearn.metrics.class_likelihood_ratios",
     "sklearn.metrics.cluster.contingency_matrix",
     "sklearn.metrics.cohen_kappa_score",
     "sklearn.metrics.confusion_matrix",
