Kubeflow是一個面向Kubernetes叢集執行的機器學習框架。要想使用得先想辦法把映象搬到自己的環境裡來。

目前版本0.3.3的容器映象已經搬回來，可以使用下面的指令碼來從Aliyun的映象服務站下載：

echo ""
echo "================================================================="
echo "Pull kubeflow images for system from aliyun.com ..."
echo "This tools created by openthings, NO WARANTY. 2018.11.28."
echo "================================================================="

MY_REGISTRY=registry.cn-hangzhou.aliyuncs.com/openthings

echo ""
echo "1. centraldashboard"
docker pull ${MY_REGISTRY}/kubeflow-images-public-centraldashboard:v0.2.1
docker tag ${MY_REGISTRY}/kubeflow-images-public-centraldashboard:v0.2.1 gcr.io/kubeflow-images-public/centraldashboard:v0.2.1 

echo ""
echo "2. jupyterhub-k8s"
docker pull ${MY_REGISTRY}/kubeflow-jupyterhub-k8s:v20180531-3bb991b1
docker tag ${MY_REGISTRY}/kubeflow-jupyterhub-k8s:v20180531-3bb991b1 gcr.io/kubeflow/jupyterhub-k8s:v20180531-3bb991b1

echo ""
echo "3. tf_operator"
docker pull ${MY_REGISTRY}/kubeflow-images-public-tf_operator:v0.2.0
docker tag ${MY_REGISTRY}/kubeflow-images-public-tf_operator:v0.2.0 gcr.io/kubeflow-images-public/tf_operator:v0.2.0

echo ""
echo "4. ambassador"
docker pull ${MY_REGISTRY}/quay-io-datawire-ambassador:0.30.1
docker tag ${MY_REGISTRY}/quay-io-datawire-ambassador:0.30.1 quay.io/datawire/ambassador:0.30.1

echo ""
echo "5. redis"
docker pull ${MY_REGISTRY}/redis:4.0.1
docker tag ${MY_REGISTRY}/redis:4.0.1 redis:4.0.1

echo ""
echo "6. seldonio/cluster-manager"
docker pull ${MY_REGISTRY}/seldonio-cluster-manager:0.1.6
docker tag ${MY_REGISTRY}/seldonio-cluster-manager:0.1.6 seldonio/cluster-manager:0.1.6

echo ""
echo "Finished."
echo ""
 

• 搬運工具原始碼指令碼，參見：https://github.com/openthings/kubernetes-tools/kubeflow

更多的參考：

• Kubeflow-機器學習工作流框架
• Kubeflow 使用指南
• Kubeflow 快速入門
• Kubeflow 入門——為 Kubernetes 打造的元件化、可移植、可擴充套件的機器學習堆疊
• PyTorch支援Kubernetes叢集
• 為JupyterHub自定義Notebook Images
• 基於Kubernetes的機器學習系統
• Kubernetes整合TensorFlow服務
• Spark機器學習工具鏈-MLflow簡介