Add quantile

Signed-off-by: Adam Li <adam2392@gmail.com>

Author: adam2392

sklearn/ensemble/_forest.py

@@ -730,7 +730,7 @@ def predict_quantiles(self, X, quantiles=0.5, method="nearest"):
             The quantiles at which to evaluate, by default 0.5 (median).
         method : str, optional
             The method to interpolate, by default 'linear'. Can be any keyword
-            argument accepted by :func:`np.quantile`.
+            argument accepted by :func:`~np.quantile`.
         check_input : bool, optional
             Whether or not to check input, by default True.
 

sklearn/tree/_classes.py

@@ -641,7 +641,7 @@ def predict_quantiles(self, X, quantiles=0.5, method="nearest", check_input=True
             The quantiles at which to evaluate, by default 0.5 (median).
         method : str, optional
             The method to interpolate, by default 'linear'. Can be any keyword
-            argument accepted by :func:`np.quantile`.
+            argument accepted by :func:`~np.quantile`.
         check_input : bool, optional
             Whether or not to check input, by default True.