tfx 0.12.0rc1

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google

TFX

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google. We’ve open sourced some of the TFX libraries listed below. The TFX repository will contain horizontal components that integrate these libraries in one platform. For now, it will include examples of how to use the already open sourced TFX libraries together.

Examples

• Chicago Taxi Example

Available TFX libraries

TensorFlow Data Validation

A library for exploring and validating machine learning data.

TensorFlow Transform

A preprocessing pipeline to perform full-pass analyze phases over data to create transformation graphs that are consistently applied during training and serving.

TensorFlow Model Analysis

Libraries and visualization components to compute full-pass and sliced model metrics over large datasets, and analyze them in a notebook.

TensorFlow Serving

A flexible, high-performance serving system for machine learning models, designed for production environments.

Compatible versions

• ml-metadata

The following table describes how the tfx package versions are compatible with its major dependency Pypi packages. This is determined by our testing framework, but other untested combinations may also work.

tfx	tensorflow	apache-beam[gcp]	tensorflow-data-validation	tensorflow-model-analysis	tensorflow-transform	ml-metadata	tensorflow-metadata
GitHub master	nightly (1.x)	2.10.0	0.12.0	0.12.1	0.12.0	0.13.1	0.12.1