TFX - bobbae/gcp GitHub Wiki

TensorFlow Extended is an open source project for building ML pipelines that orchestrate end-to-end ML workflows.

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.

Getting started

https://tensorflow.google.cn/tfx/tutorials/tfx/penguin_simple

Simple TFX Pipeline for Vertex Pipelines

https://tensorflow.google.cn/tfx/tutorials/tfx/gcp/vertex_pipelines_simple

TFX on Cloud AI Platform Pipelines

https://www.tensorflow.org/tfx/tutorials/tfx/cloud-ai-platform-pipelines

Reading data from BigQuery with TFX and Vertex Pipelines

https://tensorflow.google.cn/tfx/tutorials/tfx/gcp/vertex_pipelines_bq

Model training as a CI/CD system

https://cloud.google.com/blog/topics/developers-practitioners/model-training-cicd-system-part-i