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docs/index.md

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# Transform library for non-TFX users
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Transform is available as a standalone library.
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- [Getting Started with TensorFlow
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Transform](get_started)
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- [TensorFlow Transform API
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Reference](api_docs/python/tft)
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The [`tft`](api_docs/python/tft)
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module documentation is the only module that is relevant to TFX users.
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The [`tft_beam`](api_docs/python/tft_beam)
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module is relevant only when using Transform as a standalone library.
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Typically, a TFX user constructs a `preprocessing_fn`, and the rest of the
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Transform library calls are made by the Transform component.
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You can also use the Apache Beam `MLTransform`
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class to preprocess data for training and inference. The
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`MLTransform` class wraps multiple TFX data
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processing transforms in one class. For more information, see
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[Preprocess data with
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MLTransform](https://beam.apache.org/documentation/ml/preprocess-data)
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in the Apache Beam documentation.

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