关于“TFX on Cloud AI Platform Pipelines”的评价

LIZBETH GUADALUPE F. · 已于 over 1 year前审核

Vijay . · 已于 over 1 year前审核

Cédric b. · 已于 over 1 year前审核

Andrés C. · 已于 over 1 year前审核

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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 over 1 year前审核

Sathit P. · 已于 over 1 year前审核

Luis Fernando . · 已于 over 1 year前审核

Krishnan R. · 已于 over 1 year前审核

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · 已于 over 1 year前审核

Problem in the workbench based task

Darshan B. · 已于 over 1 year前审核

Mario H. · 已于 over 1 year前审核

Bowon P. · 已于 over 1 year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 over 1 year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 over 1 year前审核

cluster would not deploy successfully

Dylan B. · 已于 over 1 year前审核

Ashwani-Kumar S. · 已于 over 1 year前审核

Thanks

Dorjzodovsuren B. · 已于 over 1 year前审核

Nattaput K. · 已于 over 1 year前审核

Aamar H. · 已于 over 1 year前审核

จิตรภาณุ ช. · 已于 over 1 year前审核

Scott W. · 已于 over 1 year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 over 1 year前审核

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

Sebastiano D. · 已于 over 1 year前审核