建構模型 Building a Model Logging Data Ingestion Data Analysis Data Transform -ation Data Validation Data Splitting Trainer Model Validation Training At Scale Roll-out Serving Monitoring
• 是⼀一個 Python package,可以輕鬆地在Kubeflow或Google AI Platform上訓練和部署ML模型 1. Preprocesses the code, converting notebooks or gathering source or data dependencies 2.Builds and uploads a Docker image 3.Deploys a job using Kubernetes or Kubeflow primitives Libraries and CLIs - Focus on end users Arena kfctl kubectl fairing Preprocessor Builder Deployer Notebook Function Python Append Docker Cluster Job TfJob Serving Train and Predict
-xvf kfctl_v0.5.0_darwin.tar.gz # The following command is optional, to make kfctl binary easier to use. export PATH=$PATH:<path to kfctl in your kubeflow installation> export KFAPP=<your choice of application directory name> # Default uses IAP $ kfctl init ${KFAPP} cd ${KFAPP} kfctl generate all -V kfctl apply all -V 58