关于“TFX on Cloud AI Platform Pipelines”的评价

LIZBETH GUADALUPE F. · 评论over 1 year之前

Vijay . · 评论over 1 year之前

Cédric b. · 评论over 1 year之前

Andrés C. · 评论over 1 year之前

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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

Sathit P. · 评论over 1 year之前

Luis Fernando . · 评论over 1 year之前

Krishnan R. · 评论over 1 year之前

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · 评论over 1 year之前

Problem in the workbench based task

Darshan B. · 评论over 1 year之前

Mario H. · 评论over 1 year之前

Bowon P. · 评论over 1 year之前

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. · 评论over 1 year之前

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. · 评论over 1 year之前

cluster would not deploy successfully

Dylan B. · 评论over 1 year之前

Ashwani-Kumar S. · 评论over 1 year之前

Thanks

Dorjzodovsuren B. · 评论over 1 year之前

Nattaput K. · 评论over 1 year之前

Aamar H. · 评论over 1 year之前

จิตรภาณุ ช. · 评论over 1 year之前

Scott W. · 评论over 1 year之前

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. · 评论over 1 year之前

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

Sebastiano D. · 评论over 1 year之前