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Mark Daoust 2017-10-27 09:32:39 -07:00 committed by TensorFlower Gardener
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tensorflow/docs_src/get_started/linear_regression.md
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@ -4,32 +4,28 @@ This unit provides the following short examples demonstrating how
to implement regression in Estimators:
<table>
<tr> <th>Example</th> <th>Data Set</th> <th>Demonstrates How To...</th></tr>
<tr> <th>Example</th> <th>Demonstrates How To...</th></tr>
<tr>
<td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/linear_regression.py">linear_regression.py</a></td>
<td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
<td>Use the @{tf.estimator.LinearRegressor} Estimator to train a
regression model on numeric data.</td>
</tr>
<tr>
<td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/linear_regression_categorical.py">linear_regression_categorical.py</a></td>
<td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
<td>Use the @{tf.estimator.LinearRegressor} Estimator to train a
regression model on categorical data.</td>
</tr>
<tr>
<td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/dnn_regression.py">dnn_regression.py</a></td>
<td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
<td>Use the @{tf.estimator.DNNRegressor} Estimator to train a
regression model on discrete data with a deep neural network.</td>
</tr>
<tr>
<td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/custom_regression.py">custom_regression.py</a></td>
<td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
<td>Use @{tf.estimator.Estimator} to train a customized dnn
regression model.</td>
</tr>
@ -96,7 +92,7 @@ During training, all three programs output the following information:
For example, here's some possible output for the `linear_regressor.py`
program:
```bsh
``` None
INFO:tensorflow:Saving checkpoints for 1 into /tmp/tmpAObiz9/model.ckpt.
INFO:tensorflow:loss = 161.308, step = 1
INFO:tensorflow:global_step/sec: 1557.24