[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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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 neredeyse 2 yıl ago
Asher C. · Reviewed neredeyse 2 yıl ago
Sathit P. · Reviewed neredeyse 2 yıl ago
Luis Fernando . · Reviewed neredeyse 2 yıl ago
Krishnan R. · Reviewed neredeyse 2 yıl ago
Problem in the workbench based task & pipeline endpoint adding
Darshan B. · Reviewed neredeyse 2 yıl ago
Problem in the workbench based task
Darshan B. · Reviewed neredeyse 2 yıl ago
Mario H. · Reviewed neredeyse 2 yıl ago
Bowon P. · Reviewed neredeyse 2 yıl 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 neredeyse 2 yıl 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 neredeyse 2 yıl ago
cluster would not deploy successfully
Dylan B. · Reviewed neredeyse 2 yıl ago
Ashwani-Kumar S. · Reviewed neredeyse 2 yıl ago
Thanks
Dorjzodovsuren B. · Reviewed neredeyse 2 yıl ago
Nattaput K. · Reviewed neredeyse 2 yıl ago
Aamar H. · Reviewed neredeyse 2 yıl ago
จิตรภาณุ ช. · Reviewed neredeyse 2 yıl ago
Scott W. · Reviewed neredeyse 2 yıl ago
Scott W. · Reviewed neredeyse 2 yıl 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 neredeyse 2 yıl ago
unusable - can't get gke pipeline endpoint from ai platform
Sebastiano D. · Reviewed neredeyse 2 yıl ago
SAISEN U. · Reviewed neredeyse 2 yıl 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 neredeyse 2 yıl ago
Prafful K. · Reviewed neredeyse 2 yıl ago
Beny A. · Reviewed neredeyse 2 yıl ago
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