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Updated typo's in multiple documents.md (#7728)
* Update addons.md * Commit
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docs/guide/addons.md

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@@ -73,7 +73,7 @@ tfxa.feast_examplegen.FeastExampleGen(...)
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Client library to inspect content in [ML Metadata](mlmd.md) populated by TFX pipelines.
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[:octicons-arrow-right-24: MLMD Cleint](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/mlmd_client)
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[:octicons-arrow-right-24: MLMD Client](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/mlmd_client)
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- [__Model Card Generator__](https://github.com/tensorflow/tfx-addons/tree/main/tfx_addons/model_card_generator)
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docs/guide/examplegen.md

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### Date
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!!! Note
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This feature is only availible after TFX 0.24.0.
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This feature is only available after TFX 0.24.0.
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If your data source is organized on filesystem by date, TFX supports mapping
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dates directly to span numbers. There are three specs to represent mapping from
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### Version
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!!! Note
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This feature is only availible after TFX 0.24.0.
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This feature is only available after TFX 0.24.0.
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Version can be retrieved by using '{VERSION}' spec in the
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[input glob pattern](https://github.com/tensorflow/tfx/blob/master/tfx/proto/example_gen.proto):

docs/guide/index.md

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portable to different computing platforms, including on-premise, and
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cloud platforms such as the
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[Google Cloud Platform (GCP)](https://cloud.google.com/). In particular,
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TFX interoperates with serveral managed GCP services, such as
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TFX interoperates with several managed GCP services, such as
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[Cloud AI Platform](https://cloud.google.com/ai-platform/) for
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[Training and Prediction](https://cloud.google.com/ml-engine/), and
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[Cloud Dataflow](https://cloud.google.com/dataflow/) for distributed data

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