Update classification_with_tfdf.md

keras-team · Sep 18, 2024 · 632a9b3 · 632a9b3
1 parent 8ec9402
commit 632a9b3
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/examples/structured_data/md/classification_with_tfdf.md b/examples/structured_data/md/classification_with_tfdf.md
@@ -1185,15 +1185,15 @@ class BinaryTargetEncoding(layers.Layer):
 
         # Filter the data where the target label is positive.
         positive_indices = tf.where(condition=target_values)
-        postive_feature_values = tf.gather_nd(
+        positive_feature_values = tf.gather_nd(
             params=feature_values, indices=positive_indices
         )
         # Compute how many times each feature value occurred with a positive target label.
         positive_frequency = tf.math.unsorted_segment_sum(
             data=tf.ones(
-                shape=(postive_feature_values.shape[0], 1), dtype=tf.dtypes.float64
+                shape=(positive_feature_values.shape[0], 1), dtype=tf.dtypes.float64
             ),
-            segment_ids=postive_feature_values,
+            segment_ids=positive_feature_values,
             num_segments=self.vocabulary_size,
         )