DOC Fix docstring for default value in linear_model/_huber_loss_and_g… (scikit-learn#18297)

ezebunandu · Sam Ezebunandu · web-flow · commit 1b83e176f78c · 2020-08-31T12:47:04.000+02:00
Co-authored-by: Sam Ezebunandu &lt;samuel.ezebunandu@outlook.com&gt;
diff --git a/sklearn/linear_model/_huber.py b/sklearn/linear_model/_huber.py
@@ -25,10 +25,10 @@ def _huber_loss_and_gradient(w, X, y, epsilon, alpha, sample_weight=None):
         w[-1] gives the scale factor and if the intercept is fit w[-2]
         gives the intercept factor.
 
-    X : ndarray, shape (n_samples, n_features)
+    X : ndarray of shape (n_samples, n_features)
         Input data.
 
-    y : ndarray, shape (n_samples,)
+    y : ndarray of shape (n_samples,)
         Target vector.
 
     epsilon : float
@@ -37,7 +37,7 @@ def _huber_loss_and_gradient(w, X, y, epsilon, alpha, sample_weight=None):
     alpha : float
         Regularization parameter.
 
-    sample_weight : ndarray, shape (n_samples,), optional
+    sample_weight : ndarray of shape (n_samples,), default=None
         Weight assigned to each sample.
 
     Returns
