UPD: change interval to set

Author: Thibault Cordier

mapie/conformity_scores/classification.py

@@ -68,7 +68,7 @@ def get_predictions(
 
         alpha_np: NDArray of shape (n_alpha,)
             NDArray of floats between ``0`` and ``1``, represents the
-            uncertainty of the confidence interval.
+            uncertainty of the confidence set.
 
         estimator: EnsembleClassifier
             Estimator that is fitted to predict y from X.
@@ -99,7 +99,7 @@ def get_conformity_score_quantiles(
 
         alpha_np: NDArray of shape (n_alpha,)
             NDArray of floats between 0 and 1, representing the uncertainty
-            of the confidence interval.
+            of the confidence set.
 
         estimator: EnsembleClassifier
             Estimator that is fitted to predict y from X.
@@ -135,7 +135,7 @@ def get_prediction_sets(
 
         alpha_np: NDArray of shape (n_alpha,)
             NDArray of floats between 0 and 1, representing the uncertainty
-            of the confidence interval.
+            of the confidence set.
 
         estimator: EnsembleClassifier
             Estimator that is fitted to predict y from X.
@@ -165,7 +165,7 @@ def get_sets(
 
         alpha_np: NDArray of shape (n_alpha,)
             NDArray of floats between 0 and 1, representing the uncertainty
-            of the confidence interval.
+            of the confidence set.
 
         estimator: EnsembleClassifier
             Estimator that is fitted to predict y from X.

mapie/conformity_scores/interface.py

@@ -114,7 +114,7 @@ def get_quantile(
 
         alpha_np: NDArray of shape (n_alpha,)
             NDArray of floats between ``0`` and ``1``, represents the
-            uncertainty of the confidence interval.
+            uncertainty of the confidence set.
 
         axis: int
             The axis from which to compute the quantile.
@@ -128,7 +128,7 @@ def get_quantile(
             By default ``False``.
 
         unbounded: bool
-            Boolean specifying whether infinite prediction intervals
+            Boolean specifying whether infinite prediction sets
             could be produced (when alpha_np is greater than or equal to 1.).
 
             By default ``False``.