Indicate that y is not required in __sklearn_tags__

Author: sdahdah

pykoop/koopman_pipeline.py

@@ -1627,6 +1627,7 @@ def _validate_feature_names(self, X: np.ndarray) -> None:
 
     def __sklearn_tags__(self):
         tags = super().__sklearn_tags__()
+        tags.target_tags.required = False
         tags.target_tags.single_output = False
         tags.target_tags.multi_output = True
         return tags

pykoop/lmi_regressors.py

@@ -99,6 +99,7 @@ class LmiRegressor(koopman_pipeline.KoopmanRegressor):
 
     def __sklearn_tags__(self):
         tags = super().__sklearn_tags__()
+        tags.target_tags.required = False
         tags.target_tags.single_output = False
         tags.target_tags.multi_output = True
         # Hard to guarantee exact idempotence when calling external solver.
@@ -2382,6 +2383,7 @@ def predict(self, X: np.ndarray) -> np.ndarray:
 
     def __sklearn_tags__(self):
         tags = super().__sklearn_tags__()
+        tags.target_tags.required = False
         tags.target_tags.single_output = False
         tags.target_tags.multi_output = True
         return tags

pykoop/regressors.py

@@ -397,6 +397,7 @@ def _validate_parameters(self) -> None:
 
     def __sklearn_tags__(self):
         tags = super().__sklearn_tags__()
+        tags.target_tags.required = False
         tags.target_tags.single_output = False
         tags.target_tags.multi_output = True
         # The `dmd.Dmd` class requires X and y to have the samenumber of
@@ -513,6 +514,7 @@ def _validate_parameters(self) -> None:
 
     def __sklearn_tags__(self):
         tags = super().__sklearn_tags__()
+        tags.target_tags.required = False
         tags.target_tags.single_output = False
         tags.target_tags.multi_output = True
         # Allow a bad score since the ``coef_`` matrix will be filled with