Delete : Update concerning alpha

Author: BaptisteCalot

mapie/metrics.py

@@ -19,7 +19,6 @@ def regression_coverage_score(
     y_true: ArrayLike,
     y_pred_low: ArrayLike,
     y_pred_up: ArrayLike,
-    warning_inf: bool = False
 ) -> float:
     """
     Effective coverage score obtained by the prediction intervals.
@@ -58,15 +57,14 @@ def regression_coverage_score(
     check_arrays_length(y_true, y_pred_low, y_pred_up)
     check_lower_upper_bounds(y_true, y_pred_low, y_pred_up)
     check_array_nan(y_true)
-    check_array_inf(y_true, warning_inf=warning_inf)
+    check_array_inf(y_true)
     check_array_nan(y_pred_low)
-    check_array_inf(y_pred_low, warning_inf=warning_inf)
+    check_array_inf(y_pred_low)
     check_array_nan(y_pred_up)
-    check_array_inf(y_pred_up, warning_inf=warning_inf)
+    check_array_inf(y_pred_up)
 
     coverage = np.mean(
-        ((y_pred_low <= y_true) & (y_pred_up >= y_true)) |
-        np.isinf(y_pred_low) | np.isinf(y_pred_up)
+        ((y_pred_low <= y_true) & (y_pred_up >= y_true))
     )
     return float(coverage)
 

mapie/utils.py

@@ -1280,7 +1280,7 @@ def check_array_nan(array: NDArray) -> None:
         )
 
 
-def check_array_inf(array: NDArray, warning_inf: bool = False) -> None:
+def check_array_inf(array: NDArray) -> None:
     """
     Checks if the array have inf.
     If a value is infinite, we throw an error.
@@ -1296,12 +1296,9 @@ def check_array_inf(array: NDArray, warning_inf: bool = False) -> None:
         If any elements of the array is +inf or -inf.
     """
     if np.isinf(array).any():
-        if warning_inf:
-            warnings.warn("Array contains infinite values.", UserWarning)
-        else:
-            raise ValueError(
-                "Array contains infinite values."
-            )
+        raise ValueError(
+            "Array contains infinite values."
+        )
 
 
 def check_arrays_length(*arrays: NDArray) -> None: