MNT compatability with sklearn 1.3.0 (close #31)

imbens/pipeline.py

@@ -18,7 +18,7 @@
 from sklearn import pipeline
 from sklearn.base import clone
 from sklearn.utils import _print_elapsed_time
-from sklearn.utils.metaestimators import if_delegate_has_method
+from sklearn.utils.metaestimators import available_if
 from sklearn.utils.validation import check_memory
 
 __all__ = ["Pipeline", "make_pipeline"]
@@ -373,7 +373,7 @@ def fit_resample(self, X, y=None, sample_weight=None, **fit_params):
             if hasattr(last_step, "fit_resample"):
                 return last_step.fit_resample(Xt, yt, **fit_params_last_step)
 
-    @if_delegate_has_method(delegate="_final_estimator")
+    @available_if(delegate="_final_estimator")
     def fit_predict(self, X, y=None, **fit_params):
         """Apply `fit_predict` of last step in pipeline after transforms.