From 8da0af04109a42db4d4b489f455592e11ce000ec Mon Sep 17 00:00:00 2001 From: zhengjiajin Date: Tue, 2 May 2017 03:13:07 +0800 Subject: [PATCH] update doc (#9534) --- tensorflow/docs_src/get_started/input_fn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tensorflow/docs_src/get_started/input_fn.md b/tensorflow/docs_src/get_started/input_fn.md index 74ed5fbebff..a053617b589 100644 --- a/tensorflow/docs_src/get_started/input_fn.md +++ b/tensorflow/docs_src/get_started/input_fn.md @@ -12,7 +12,7 @@ When training a neural network using tf.contrib.learn, it's possible to pass your feature and target data directly into your `fit`, `evaluate`, or `predict` operations. Here's an example taken from the @{$tflearn$tf.contrib.learn quickstart tutorial}: -```py +```python training_set = tf.contrib.learn.datasets.base.load_csv_with_header( filename=IRIS_TRAINING, target_dtype=np.int, features_dtype=np.float32) test_set = tf.contrib.learn.datasets.base.load_csv_with_header(