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# Building TFX pipelines
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- Note: For a conceptual view of TFX Pipelines, see
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- [ Understanding TFX Pipelines] ( understanding_tfx_pipelines.md ) .
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+ !!! Note
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+ For a conceptual view of TFX Pipelines, see
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+ [ Understanding TFX Pipelines] ( understanding_tfx_pipelines.md ) .
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- Note: Want to build your first pipeline before you dive into the details? Get
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- started
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- [ building a pipeline using a template] ( build_local_pipeline.md#build-a-pipeline-using-a-template ) .
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+ !!!Note
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+ Want to build your first pipeline before you dive into the details? Get
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+ started
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+ [ building a pipeline using a template] ( build_local_pipeline.md#build-a-pipeline-using-a-template ) .
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## Using the ` Pipeline ` class
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@@ -61,9 +63,10 @@ statistics. In this example, the instance of `StatisticsGen` must follow
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### Task-based dependencies
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- Note: Using task-based dependencies is typically not recommended. Defining the
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- execution graph with artifact dependencies lets you take advantage of the
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- automatic artifact lineage tracking and caching features of TFX.
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+ !!! Note
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+ Using task-based dependencies is typically not recommended. Defining the
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+ execution graph with artifact dependencies lets you take advantage of the
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+ automatic artifact lineage tracking and caching features of TFX.
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You can also define task-based dependencies using your component's
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[ ` add_upstream_node ` and ` add_downstream_node ` ] ( https://github.com/tensorflow/tfx/blob/master/tfx/components/base/base_node.py ) {: .external }
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The easiest way to get a pipeline set up quickly, and to see how all the pieces
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fit together, is to use a template. Using templates is covered in [ Building a
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- TFX Pipeline Locally] ( build_local_pipeline ) .
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+ TFX Pipeline Locally] ( ../ build_local_pipeline) .
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## Caching
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