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2 changes: 1 addition & 1 deletion docs/pipelines/aggregators-custom.md
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Expand Up @@ -50,4 +50,4 @@ requirements-parser==0.2.0
packaging==19.0.0
```

You can install additional PyPI packages and import your own Python packages. See [Python Packages](../advanced/python-packages.md) for more details.
You can install additional PyPI packages and import your own Python packages. See [Python Packages](python-packages.md) for more details.
2 changes: 1 addition & 1 deletion docs/pipelines/aggregators.md
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Expand Up @@ -2,7 +2,7 @@

An aggregator converts a set of columns and arbitrary values into a single value. Each aggregator has an input type and an output type. Aggregators run before transformers.

Custom aggregators can be implemented in Python or PySpark. See the [implementation docs](../implementations/aggregators.md) for a detailed guide.
Custom aggregators can be implemented in Python or PySpark. See the [implementation docs](aggregators.md) for a detailed guide.

## Config

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4 changes: 2 additions & 2 deletions docs/pipelines/estimators-custom.md
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Expand Up @@ -50,7 +50,7 @@ def create_estimator(run_config, model_config):

## Pre-installed Packages

You can import PyPI packages or your own Python packages to help create more complex models. See [Python Packages](../advanced/python-packages.md) for more details.
You can import PyPI packages or your own Python packages to help create more complex models. See [Python Packages](python-packages.md) for more details.

The following packages have been pre-installed and can be used in your implementations:

Expand All @@ -63,7 +63,7 @@ requirements-parser==0.2.0
packaging==19.0.0
```

You can install additional PyPI packages and import your own Python packages. See [Python Packages](../advanced/python-packages.md) for more details.
You can install additional PyPI packages and import your own Python packages. See [Python Packages](python-packages.md) for more details.


# Tensorflow Transformations
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2 changes: 1 addition & 1 deletion docs/pipelines/estimators.md
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Expand Up @@ -2,7 +2,7 @@

An estimator defines how to train a model.

Custom estimators can be implemented in Python or PySpark. See the [implementation docs](../implementations/estimators.md) for a detailed guide.
Custom estimators can be implemented in Python or PySpark. See the [implementation docs](estimators.md) for a detailed guide.

## Config

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2 changes: 1 addition & 1 deletion docs/pipelines/transformers-custom.md
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Expand Up @@ -95,4 +95,4 @@ requirements-parser==0.2.0
packaging==19.0.0
```

You can install additional PyPI packages and import your own Python packages. See [Python Packages](../advanced/python-packages.md) for more details.
You can install additional PyPI packages and import your own Python packages. See [Python Packages](python-packages.md) for more details.
2 changes: 1 addition & 1 deletion docs/pipelines/transformers.md
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Expand Up @@ -2,7 +2,7 @@

A transformer converts a set of columns and arbitrary values into a single transformed column. Each transformer has an input type and an output column type.

Custom transformers can be implemented in Python or PySpark. See the [implementation docs](../implementations/transformers.md) for a detailed guide.
Custom transformers can be implemented in Python or PySpark. See the [implementation docs](transformers.md) for a detailed guide.

## Config

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