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tensorflow/g3doc/tutorials/wide/index.md

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already.
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2. Download [the tutorial code](
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https://www.tensorflow.org/code/tensorflow/examples/learn/wide_n_deep_tutorial.py).
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https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py).
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3. Install the pandas data analysis library. tf.learn doesn't require pandas, but it does support it, and this tutorial uses pandas. To install pandas:
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1. Get `pip`:
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If you'd like to see a working end-to-end example, you can download our [example
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code]
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(https://www.tensorflow.org/code/tensorflow/examples/learn/wide_n_deep_tutorial.py)
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(https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/learn/wide_n_deep_tutorial.py)
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and set the `model_type` flag to `wide`.
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## Adding Regularization to Prevent Overfitting

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