diff --git a/.readthedocs.yml b/.readthedocs.yml
index b7ba60457..d8e222c73 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -14,6 +14,8 @@ conda:
   environment: environment.doc.yml
   
 sphinx:
-  builder: html
+  builder:
+    - html
+    - doctest
   configuration: doc/conf.py
   fail_on_warning: false
diff --git a/mapie/metrics.py b/mapie/metrics.py
index 4926ab782..bc320129b 100644
--- a/mapie/metrics.py
+++ b/mapie/metrics.py
@@ -1283,6 +1283,7 @@ def kolmogorov_smirnov_p_value(y_true: NDArray, y_score: NDArray) -> float:
     Examples
     --------
     >>> import pandas as pd
+    >>> import numpy as np
     >>> from mapie.metrics import kolmogorov_smirnov_p_value
     >>> y_true = np.array([1, 0, 1, 0, 1, 0])
     >>> y_score = np.array([0.8, 0.3, 0.5, 0.5, 0.7, 0.1])
@@ -1450,6 +1451,7 @@ def kuiper_p_value(y_true: NDArray, y_score: NDArray) -> float:
     Examples
     --------
     >>> import pandas as pd
+    >>> import numpy as np
     >>> from mapie.metrics import kuiper_p_value
     >>> y_true = np.array([1, 0, 1, 0, 1, 0])
     >>> y_score = np.array([0.8, 0.3, 0.5, 0.5, 0.7, 0.1])
diff --git a/mapie/mondrian.py b/mapie/mondrian.py
index 003cf59f5..86c76549f 100644
--- a/mapie/mondrian.py
+++ b/mapie/mondrian.py
@@ -72,6 +72,7 @@ class MondrianCP(BaseEstimator):
     >>> import numpy as np
     >>> from sklearn.linear_model import LogisticRegression
     >>> from mapie.classification import MapieClassifier
+    >>> from mapie.mondrian import MondrianCP
     >>> X_toy = np.arange(9).reshape(-1, 1)
     >>> y_toy = np.stack([0, 0, 1, 0, 1, 2, 1, 2, 2])
     >>> partition_toy = [0, 0, 0, 0, 1, 1, 1, 1, 1]