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Diffstat (limited to 'tensorflow/docs_src/guide/custom_estimators.md')
| -rw-r--r-- | tensorflow/docs_src/guide/custom_estimators.md | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/tensorflow/docs_src/guide/custom_estimators.md b/tensorflow/docs_src/guide/custom_estimators.md index 199a0e93de..913a35920f 100644 --- a/tensorflow/docs_src/guide/custom_estimators.md +++ b/tensorflow/docs_src/guide/custom_estimators.md @@ -5,7 +5,7 @@ This document introduces custom Estimators. In particular, this document demonstrates how to create a custom `tf.estimator.Estimator` that mimics the behavior of the pre-made Estimator `tf.estimator.DNNClassifier` in solving the Iris problem. See -the @{$premade_estimators$Pre-Made Estimators chapter} for details +the [Pre-Made Estimators chapter](../guide/premade_estimators.md) for details on the Iris problem. To download and access the example code invoke the following two commands: @@ -84,7 +84,7 @@ and a logits output layer. ## Write an Input function Our custom Estimator implementation uses the same input function as our -@{$premade_estimators$pre-made Estimator implementation}, from +[pre-made Estimator implementation](../guide/premade_estimators.md), from [`iris_data.py`](https://github.com/tensorflow/models/blob/master/samples/core/get_started/iris_data.py). Namely: @@ -106,8 +106,8 @@ This input function builds an input pipeline that yields batches of ## Create feature columns -As detailed in the @{$premade_estimators$Premade Estimators} and -@{$feature_columns$Feature Columns} chapters, you must define +As detailed in the [Premade Estimators](../guide/premade_estimators.md) and +[Feature Columns](../guide/feature_columns.md) chapters, you must define your model's feature columns to specify how the model should use each feature. Whether working with pre-made Estimators or custom Estimators, you define feature columns in the same fashion. @@ -145,7 +145,7 @@ to the constructor are in turn passed on to the `model_fn`. In [`custom_estimator.py`](https://github.com/tensorflow/models/blob/master/samples/core/get_started/custom_estimator.py) the following lines create the estimator and set the params to configure the model. This configuration step is similar to how we configured the `tf.estimator.DNNClassifier` in -@{$premade_estimators}. +[Premade Estimators](../guide/premade_estimators.md). ```python classifier = tf.estimator.Estimator( @@ -489,7 +489,7 @@ configure your Estimator without modifying the code in the `model_fn`. The rest of the code to train, evaluate, and generate predictions using our Estimator is the same as in the -@{$premade_estimators$Premade Estimators} chapter. For +[Premade Estimators](../guide/premade_estimators.md) chapter. For example, the following line will train the model: ```python @@ -597,6 +597,6 @@ For more details, be sure to check out: which contains more curated examples using custom estimators. * This [TensorBoard video](https://youtu.be/eBbEDRsCmv4), which introduces TensorBoard. -* The @{$low_level_intro$Low Level Introduction}, which demonstrates +* The [Low Level Introduction](../guide/low_level_intro.md), which demonstrates how to experiment directly with TensorFlow's low level APIs, making debugging easier. |