[DEPRECATED] TFX on Cloud AI Platform Pipelines Reviews
4231 reviews
Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Reviewed כמעט 2 שנים ago
Asher C. · Reviewed כמעט 2 שנים ago
Sathit P. · Reviewed כמעט 2 שנים ago
Luis Fernando . · Reviewed כמעט 2 שנים ago
Krishnan R. · Reviewed כמעט 2 שנים ago
Problem in the workbench based task & pipeline endpoint adding
Darshan B. · Reviewed כמעט 2 שנים ago
Problem in the workbench based task
Darshan B. · Reviewed כמעט 2 שנים ago
Mario H. · Reviewed כמעט 2 שנים ago
Bowon P. · Reviewed כמעט 2 שנים ago
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. · Reviewed כמעט 2 שנים ago
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. · Reviewed כמעט 2 שנים ago
cluster would not deploy successfully
Dylan B. · Reviewed כמעט 2 שנים ago
Ashwani-Kumar S. · Reviewed כמעט 2 שנים ago
Thanks
Dorjzodovsuren B. · Reviewed כמעט 2 שנים ago
Nattaput K. · Reviewed כמעט 2 שנים ago
Aamar H. · Reviewed כמעט 2 שנים ago
จิตรภาณุ ช. · Reviewed כמעט 2 שנים ago
Scott W. · Reviewed כמעט 2 שנים ago
Scott W. · Reviewed כמעט 2 שנים ago
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. · Reviewed כמעט 2 שנים ago
unusable - can't get gke pipeline endpoint from ai platform
Sebastiano D. · Reviewed כמעט 2 שנים ago
SAISEN U. · Reviewed כמעט 2 שנים ago
tfx-on-googlecloud workbook wasn't created correctly by the lab. Had to restart in order for it to be created.
John H. · Reviewed כמעט 2 שנים ago
Prafful K. · Reviewed כמעט 2 שנים ago
Beny A. · Reviewed כמעט 2 שנים ago
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