TFX is an end-to-end platform for deploying production ML pipelines.
When you're ready to move your models from research to production, use TFX to create and manage a production pipeline.
How it works
A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually.
- :material-download:{ .lg .middle } __Install TFX__
---
Install [`tfx`](#) with [`pip`](#):
```shell
pip install tfx
```
[:octicons-arrow-right-24: Getting started](guide/index#installation)
- :material-book-open-blank-variant-outline:{ .lg .middle } __User Guide__
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Learn more about how to get started with TFX in the user guide.
[:octicons-arrow-right-24: User Guide](guide/index)
- :material-school:{ .lg .middle } __View The Tutorials__
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Learn from real world examples that use TFX.
[:octicons-arrow-right-24: Tutorials](tutorials/index)
- :material-text-search:{ .lg .middle } __API Reference__
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The API reference contains details about functions, classes, and modules
that are part of TFX.
[:octicons-arrow-right-24: API Reference](api/v1/index)