UPD: remove obsolete 'method' attribute and methods in conformity score

mapie/classification.py

@@ -452,7 +452,6 @@ def _check_fit_parameter(
             method=self.method
         )
         cs_estimator.set_external_attributes(
-            method=self.method,
             classes=self.classes_,
             random_state=self.random_state
         )

mapie/conformity_scores/sets/aps.py

@@ -37,14 +37,6 @@ class APS(Naive):
 
     Attributes
     ----------
-    method: str
-        Method to choose for prediction interval estimates.
-        This attribute is for compatibility with ``MapieClassifier``
-        which previously used a string instead of a score class.
-        Methods available in this class: ``aps``, ``raps`` and ``naive``.
-
-        By default, ``aps`` for APS method.
-
     classes: Optional[ArrayLike]
         Names of the classes.
 

mapie/conformity_scores/sets/lac.py

@@ -27,13 +27,6 @@ class LAC(BaseClassificationScore):
 
     Attributes
     ----------
-    method: str
-        Method to choose for prediction interval estimates.
-        This attribute is for compatibility with ``MapieClassifier``
-        which previously used a string instead of a score class.
-
-        By default, ``lac`` for LAC method.
-
     classes: Optional[ArrayLike]
         Names of the classes.
 
@@ -49,7 +42,6 @@ def __init__(self) -> None:
 
     def set_external_attributes(
         self,
-        method: str = 'lac',
         classes: Optional[ArrayLike] = None,
         random_state: Optional[Union[int, np.random.RandomState]] = None,
         **kwargs
@@ -59,12 +51,6 @@ def set_external_attributes(
 
         Parameters
         ----------
-        method: str
-            Method to choose for prediction interval estimates.
-            Methods available in this class: ``lac``.
-
-            By default ``lac`` for LAC method.
-
         classes: Optional[ArrayLike]
             Names of the classes.
 
@@ -74,7 +60,6 @@ def set_external_attributes(
             Pseudo random number generator state.
         """
         super().set_external_attributes(**kwargs)
-        self.method = method
         self.classes = classes
         self.random_state = random_state
 

mapie/conformity_scores/sets/naive.py

@@ -20,14 +20,6 @@ class Naive(BaseClassificationScore):
 
     Attributes
     ----------
-    method: str
-        Method to choose for prediction interval estimates.
-        This attribute is for compatibility with ``MapieClassifier``
-        which previously used a string instead of a score class.
-        Methods available in this class: ``aps``, ``raps`` and ``naive``.
-
-        By default, ``aps`` for APS method.
-
     classes: Optional[ArrayLike]
         Names of the classes.
 
@@ -43,7 +35,6 @@ def __init__(self) -> None:
 
     def set_external_attributes(
         self,
-        method: str = 'naive',
         classes: Optional[ArrayLike] = None,
         random_state: Optional[Union[int, np.random.RandomState]] = None,
         **kwargs
@@ -53,12 +44,6 @@ def set_external_attributes(
 
         Parameters
         ----------
-        method: str
-            Method to choose for prediction interval estimates.
-            Methods available in this class: ``aps``, ``raps`` and ``naive``.
-
-            By default ``aps`` for APS method.
-
         classes: Optional[ArrayLike]
             Names of the classes.
 
@@ -68,7 +53,6 @@ def set_external_attributes(
             Pseudo random number generator state.
         """
         super().set_external_attributes(**kwargs)
-        self.method = method
         self.classes = classes
         self.random_state = random_state
 

mapie/conformity_scores/sets/raps.py

@@ -7,7 +7,7 @@
 from mapie.estimator.classifier import EnsembleClassifier
 
 from mapie._machine_precision import EPSILON
-from mapie._typing import ArrayLike, NDArray
+from mapie._typing import NDArray
 from mapie.metrics import classification_mean_width_score
 from mapie.utils import check_alpha_and_n_samples, compute_quantiles
 
@@ -39,14 +39,6 @@ class RAPS(APS):
 
     Attributes
     ----------
-    method: str
-        Method to choose for prediction interval estimates.
-        This attribute is for compatibility with ``MapieClassifier``
-        which previously used a string instead of a score class.
-        Methods available in this class: ``aps``, ``raps`` and ``naive``.
-
-        By default, ``aps`` for APS method.
-
     classes: Optional[ArrayLike]
         Names of the classes.
 
@@ -60,37 +52,6 @@ class RAPS(APS):
     def __init__(self) -> None:
         super().__init__()
 
-    def set_external_attributes(
-        self,
-        method: str = 'raps',
-        classes: Optional[ArrayLike] = None,
-        random_state: Optional[Union[int, np.random.RandomState]] = None,
-        **kwargs
-    ) -> None:
-        """
-        Set attributes that are not provided by the user.
-
-        Parameters
-        ----------
-        method: str
-            Method to choose for prediction interval estimates.
-            Methods available in this class: ``aps``, ``raps`` and ``naive``.
-
-            By default ``aps`` for APS method.
-
-        classes: Optional[ArrayLike]
-            Names of the classes.
-
-            By default ``None``.
-
-        random_state: Optional[Union[int, RandomState]]
-            Pseudo random number generator state.
-        """
-        super().set_external_attributes(**kwargs)
-        self.method = method
-        self.classes = classes
-        self.random_state = random_state
-
     @staticmethod
     def _regularize_conformity_score(
         k_star: NDArray,

mapie/conformity_scores/sets/topk.py

@@ -31,13 +31,6 @@ class TopK(BaseClassificationScore):
 
     Attributes
     ----------
-    method: str
-        Method to choose for prediction interval estimates.
-        This attribute is for compatibility with ``MapieClassifier``
-        which previously used a string instead of a score class.
-
-        By default, ``top_k`` for Top-K method.
-
     classes: Optional[ArrayLike]
         Names of the classes.
 
@@ -53,7 +46,6 @@ def __init__(self) -> None:
 
     def set_external_attributes(
         self,
-        method: str = 'top_k',
         classes: Optional[int] = None,
         random_state: Optional[Union[int, np.random.RandomState]] = None,
         **kwargs
@@ -63,12 +55,6 @@ def set_external_attributes(
 
         Parameters
         ----------
-        method: str
-            Method to choose for prediction interval estimates.
-            Methods available in this class: ``top_k``.
-
-            By default ``top_k`` for Top-K method.
-
         classes: Optional[ArrayLike]
             Names of the classes.
 
@@ -78,7 +64,6 @@ def set_external_attributes(
             Pseudo random number generator state.
         """
         super().set_external_attributes(**kwargs)
-        self.method = method
         self.classes = classes
         self.random_state = random_state