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-rw-r--r--tensorflow/examples/learn/text_classification.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/examples/learn/text_classification.py b/tensorflow/examples/learn/text_classification.py
index c3d00a11b9..7e10014c39 100644
--- a/tensorflow/examples/learn/text_classification.py
+++ b/tensorflow/examples/learn/text_classification.py
@@ -24,6 +24,7 @@ import numpy as np
import pandas
from sklearn import metrics
import tensorflow as tf
+from tensorflow.contrib.layers.python.layers import encoders
learn = tf.contrib.learn
@@ -37,7 +38,7 @@ n_words = 0
def bag_of_words_model(features, target):
"""A bag-of-words model. Note it disregards the word order in the text."""
target = tf.one_hot(target, 15, 1, 0)
- features = tf.contrib.layers.bow_encoder(
+ features = encoders.bow_encoder(
features, vocab_size=n_words, embed_dim=EMBEDDING_SIZE)
logits = tf.contrib.layers.fully_connected(features, 15, activation_fn=None)
loss = tf.contrib.losses.softmax_cross_entropy(logits, target)