update doc (#9534)
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@ -12,7 +12,7 @@ When training a neural network using tf.contrib.learn, it's possible to pass
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your feature and target data directly into your `fit`, `evaluate`, or `predict`
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operations. Here's an example taken from the @{$tflearn$tf.contrib.learn quickstart tutorial}:
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```py
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```python
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training_set = tf.contrib.learn.datasets.base.load_csv_with_header(
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filename=IRIS_TRAINING, target_dtype=np.int, features_dtype=np.float32)
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test_set = tf.contrib.learn.datasets.base.load_csv_with_header(
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