CI/CD for a TFX pipeline Reviews
3515 reviews
The instructions for the Git part of the lab were unclear. So I could not complete it totally.
Osman A. · Reviewed over 3 years ago
Gautam R. · Reviewed over 3 years ago
Vincent Q. · Reviewed over 3 years ago
Diego M. · Reviewed over 3 years ago
Dima D. · Reviewed over 3 years ago
Nusret Ö. · Reviewed over 3 years ago
Sokil, J. · Reviewed over 3 years ago
Sokil, J. · Reviewed over 3 years ago
Alberto C. · Reviewed over 3 years ago
Erik P. · Reviewed over 3 years ago
Yadir A. · Reviewed over 3 years ago
Igor Q. · Reviewed over 3 years ago
Antonio S. · Reviewed over 3 years ago
Not clear what github account to use
Xinyu L. · Reviewed over 3 years ago
Akira H. · Reviewed over 3 years ago
Akira H. · Reviewed over 3 years ago
Nishant S. · Reviewed over 3 years ago
Akira H. · Reviewed over 3 years ago
Akira H. · Reviewed over 3 years ago
I think the following instructions need updating; Navigate to AI Platform Pipelines page in the Google Cloud Console. Create or select an existing Kubernetes cluster (GKE) and deploy AI Platform Make sure to select "Allow access to the following Cloud APIs https://www.googleapis.com/auth/cloud-platform" to allow for programmatic access to your pipeline by the Kubeflow SDK for the rest of the lab. Also, provide an App instance name such as "tfx" or "mlops". Note you may have already deployed an AI Pipelines instance during the Setup for the lab series. If so, you can proceed using that instance below in the next step.
Martin C. · Reviewed over 3 years ago
Sushma .. · Reviewed over 3 years ago
Morokot C. · Reviewed over 3 years ago
Antonio S. · Reviewed over 3 years ago
Igor Q. · Reviewed over 3 years ago
Igor Q. · Reviewed over 3 years ago
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