리뷰 Cloud AI Platform Pipelines에서의 TFX개

LIZBETH GUADALUPE F. · 1년 초과 전에 리뷰됨

Vijay . · 1년 초과 전에 리뷰됨

Cédric b. · 1년 초과 전에 리뷰됨

Andrés C. · 1년 초과 전에 리뷰됨

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · 1년 초과 전에 리뷰됨

Sathit P. · 1년 초과 전에 리뷰됨

Luis Fernando . · 1년 초과 전에 리뷰됨

Krishnan R. · 1년 초과 전에 리뷰됨

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · 1년 초과 전에 리뷰됨

Problem in the workbench based task

Darshan B. · 1년 초과 전에 리뷰됨

Mario H. · 1년 초과 전에 리뷰됨

Bowon P. · 1년 초과 전에 리뷰됨

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. · 1년 초과 전에 리뷰됨

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. · 1년 초과 전에 리뷰됨

cluster would not deploy successfully

Dylan B. · 1년 초과 전에 리뷰됨

Ashwani-Kumar S. · 1년 초과 전에 리뷰됨

Thanks

Dorjzodovsuren B. · 1년 초과 전에 리뷰됨

Nattaput K. · 1년 초과 전에 리뷰됨

Aamar H. · 1년 초과 전에 리뷰됨

จิตรภาณุ ช. · 1년 초과 전에 리뷰됨

Scott W. · 1년 초과 전에 리뷰됨

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. · 1년 초과 전에 리뷰됨

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

Sebastiano D. · 1년 초과 전에 리뷰됨