DOC add missing attributes in RandomTreesEmbedding
@@ -2200,9 +2200,25 @@ class RandomTreesEmbedding(BaseForest):
Attributes
----------
- estimators_ : list of DecisionTreeClassifier
+ base_estimator_ : DecisionTreeClassifier instance
+ The child estimator template used to create the collection of fitted
+ sub-estimators.
+
+ estimators_ : list of DecisionTreeClassifier instances
The collection of fitted sub-estimators.
+ feature_importances_ : ndarray of shape (n_features,)
+ The feature importances (the higher, the more important the feature).
+
+ n_features_ : int
+ The number of features when ``fit`` is performed.
+
+ n_outputs_ : int
+ The number of outputs when ``fit`` is performed.
+
+ one_hot_encoder_ : OneHotEncoder instance
+ One-hot encoder used to create the sparse embedding.
+
References
----------
.. [1] P. Geurts, D. Ernst., and L. Wehenkel, "Extremely randomized trees",
