关于“[DEPRECATED] TFX on Cloud AI Platform Pipelines”的评价

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline. If you're getting stuck on task 1, make sure that step 6 has been performed correctly. You should be deploying via kubeflow pipelines and it will be visible in the applications tab in GKE if deployed. If you have issues with the notebook, you can look at the solutions in the cloned repo which can help with passing completion checks as sometimes the checks are finnicky.

Asher C. · 已于 almost 2 years前审核

Sathit P. · 已于 almost 2 years前审核

Luis Fernando . · 已于 almost 2 years前审核

Krishnan R. · 已于 almost 2 years前审核

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · 已于 almost 2 years前审核

Problem in the workbench based task

Darshan B. · 已于 almost 2 years前审核

Mario H. · 已于 almost 2 years前审核

Bowon P. · 已于 almost 2 years前审核

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · 已于 almost 2 years前审核

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · 已于 almost 2 years前审核

cluster would not deploy successfully

Dylan B. · 已于 almost 2 years前审核

Ashwani-Kumar S. · 已于 almost 2 years前审核

Thanks

Dorjzodovsuren B. · 已于 almost 2 years前审核

Nattaput K. · 已于 almost 2 years前审核

Aamar H. · 已于 almost 2 years前审核

จิตรภาณุ ช. · 已于 almost 2 years前审核

Scott W. · 已于 almost 2 years前审核

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1.

wade a. · 已于 almost 2 years前审核

unusable - can't get gke pipeline endpoint from ai platform

Sebastiano D. · 已于 almost 2 years前审核

SAISEN U. · 已于 almost 2 years前审核

tfx-on-googlecloud workbook wasn't created correctly by the lab. Had to restart in order for it to be created.

John H. · 已于 almost 2 years前审核

Prafful K. · 已于 almost 2 years前审核

Beny A. · 已于 almost 2 years前审核