API docs: Fix usage example format in to_categorical.

PiperOrigin-RevId: 291802325 Change-Id: Ibeefcaf377adfad82b4e0a2c4585c50c88034ad7
zhangjuhui · Jan 27, 2020 · f7bbe17 · f7bbe17
1 parent a02fa19
commit f7bbe17
Showing 1 changed file with 7 additions and 6 deletions.
diff --git a/tensorflow/python/keras/utils/np_utils.py b/tensorflow/python/keras/utils/np_utils.py
@@ -28,12 +28,13 @@ def to_categorical(y, num_classes=None, dtype='float32'):
   E.g. for use with categorical_crossentropy.
 
   Usage Example:
-    >>> y = [0, 1, 2, 3]
-    >>> tf.keras.utils.to_categorical(y, num_classes=4)
-    array([[1., 0., 0., 0.],
-           [0., 1., 0., 0.],
-           [0., 0., 1., 0.],
-           [0., 0., 0., 1.]], dtype=float32)
+
+  >>> y = [0, 1, 2, 3]
+  >>> tf.keras.utils.to_categorical(y, num_classes=4)
+  array([[1., 0., 0., 0.],
+         [0., 1., 0., 0.],
+         [0., 0., 1., 0.],
+         [0., 0., 0., 1.]], dtype=float32)
 
   Arguments:
       y: class vector to be converted into a matrix