scikit-learn
diff --git a/‎sklearn/decomposition/_dict_learning.py
Copy file name to clipboardExpand all lines: sklearn/decomposition/_dict_learning.py
+8-4Lines changed: 8 additions & 4 deletions b/‎sklearn/decomposition/_dict_learning.py
Copy file name to clipboardExpand all lines: sklearn/decomposition/_dict_learning.py
+8-4Lines changed: 8 additions & 4 deletions
diff --git a/‎sklearn/decomposition/_sparse_pca.py
Copy file name to clipboardExpand all lines: sklearn/decomposition/_sparse_pca.py
+4-2Lines changed: 4 additions & 2 deletions b/‎sklearn/decomposition/_sparse_pca.py
Copy file name to clipboardExpand all lines: sklearn/decomposition/_sparse_pca.py
+4-2Lines changed: 4 additions & 2 deletions
@@ -487,10 +487,12 @@ def dict_learning(X, n_components, *, alpha, max_iter=100, tol=1e-8,
         for more details.
 
     dict_init : ndarray of shape (n_components, n_features), default=None
-        Initial value for the dictionary for warm restart scenarios.
+        Initial value for the dictionary for warm restart scenarios. Only used
+        if `code_init` and `dict_init` are not None.
 
     code_init : ndarray of shape (n_samples, n_components), default=None
-        Initial value for the sparse code for warm restart scenarios.
+        Initial value for the sparse code for warm restart scenarios. Only used
+        if `code_init` and `dict_init` are not None.
 
     callback : callable, default=None
         Callable that gets invoked every five iterations
@@ -1205,10 +1207,12 @@ class DictionaryLearning(_BaseSparseCoding, BaseEstimator):
         for more details.
 
     code_init : ndarray of shape (n_samples, n_components), default=None
-        Initial value for the code, for warm restart.
+        Initial value for the code, for warm restart. Only used if `code_init`
+        and `dict_init` are not None.
 
     dict_init : ndarray of shape (n_components, n_features), default=None
-        Initial values for the dictionary, for warm restart.
+        Initial values for the dictionary, for warm restart. Only used if
+        `code_init` and `dict_init` are not None.
 
     verbose : bool, default=False
         To control the verbosity of the procedure.
 
@@ -54,10 +54,12 @@ class SparsePCA(TransformerMixin, BaseEstimator):
         for more details.
 
     U_init : ndarray of shape (n_samples, n_components), default=None
-        Initial values for the loadings for warm restart scenarios.
+        Initial values for the loadings for warm restart scenarios. Only used
+        if `U_init` and `V_init` are not None.
 
     V_init : ndarray of shape (n_components, n_features), default=None
-        Initial values for the components for warm restart scenarios.
+        Initial values for the components for warm restart scenarios. Only used
+        if `U_init` and `V_init` are not None.
 
     verbose : int or bool, default=False
         Controls the verbosity; the higher, the more messages. Defaults to 0.