TFX on Cloud AI Platform Pipelines Reviews

LIZBETH GUADALUPE F. · Reviewed over 1 year ago

Vijay . · Reviewed over 1 year ago

Cédric b. · Reviewed over 1 year ago

Andrés C. · Reviewed over 1 year ago

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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

Sathit P. · Reviewed over 1 year ago

Luis Fernando . · Reviewed over 1 year ago

Krishnan R. · Reviewed over 1 year ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed over 1 year ago

Problem in the workbench based task

Darshan B. · Reviewed over 1 year ago

Mario H. · Reviewed over 1 year ago

Bowon P. · Reviewed over 1 year 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 over 1 year 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 over 1 year ago

cluster would not deploy successfully

Dylan B. · Reviewed over 1 year ago

Ashwani-Kumar S. · Reviewed over 1 year ago

Thanks

Dorjzodovsuren B. · Reviewed over 1 year ago

Nattaput K. · Reviewed over 1 year ago

Aamar H. · Reviewed over 1 year ago

จิตรภาณุ ช. · Reviewed over 1 year ago

Scott W. · Reviewed over 1 year 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 over 1 year ago

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

Sebastiano D. · Reviewed over 1 year ago