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official/wide_deep/README.md

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@@ -21,7 +21,7 @@ First make sure you've [added the models folder to your Python path](/official/#
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The [Census Income Data Set](https://archive.ics.uci.edu/ml/datasets/Census+Income) that this sample uses for training is hosted by the [UC Irvine Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/). We have provided a script that downloads and cleans the necessary files.
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```
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python data_download.py
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python census_dataset.py
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```
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This will download the files to `/tmp/census_data`. To change the directory, set the `--data_dir` flag.
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You can run the code locally as follows:
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```
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python wide_deep.py
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python census_main.py
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```
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The model is saved to `/tmp/census_model` by default, which can be changed using the `--model_dir` flag.
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To run the *wide* or *deep*-only models, set the `--model_type` flag to `wide` or `deep`. Other flags are configurable as well; see `wide_deep.py` for details.
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To run the *wide* or *deep*-only models, set the `--model_type` flag to `wide` or `deep`. Other flags are configurable as well; see `census_main.py` for details.
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The final accuracy should be over 83% with any of the three model types.
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You can export the model into Tensorflow [SavedModel](https://www.tensorflow.org/guide/saved_model) format by using the argument `--export_dir`:
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```
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python wide_deep.py --export_dir /tmp/wide_deep_saved_model
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python census_main.py --export_dir /tmp/wide_deep_saved_model
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```
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After the model finishes training, use [`saved_model_cli`](https://www.tensorflow.org/guide/saved_model#cli_to_inspect_and_execute_savedmodel) to inspect and execute the SavedModel.

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