update doc (#9534)

This commit is contained in:
zhengjiajin 2017-05-02 03:13:07 +08:00 committed by Vijay Vasudevan
parent c71f12cadc
commit 8da0af0410

View File

@ -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(