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.
- Chicago Taxi Example
A library for exploring and validating machine learning data.
A preprocessing pipeline to perform full-pass analyze phases over data to create transformation graphs that are consistently applied during training and serving.
Libraries and visualization components to compute full-pass and sliced model metrics over large datasets, and analyze them in a notebook.
A flexible, high-performance serving system for machine learning models, designed for production environments.