[DEPRECATED] TFX on Cloud AI Platform Pipelines 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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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 almost 2 years ago

Sathit P. · Reviewed almost 2 years ago

Luis Fernando . · Reviewed almost 2 years ago

Krishnan R. · Reviewed almost 2 years ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed almost 2 years ago

Problem in the workbench based task

Darshan B. · Reviewed almost 2 years ago

Mario H. · Reviewed almost 2 years ago

Bowon P. · Reviewed almost 2 years 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 almost 2 years 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 almost 2 years ago

cluster would not deploy successfully

Dylan B. · Reviewed almost 2 years ago

Ashwani-Kumar S. · Reviewed almost 2 years ago

Thanks

Dorjzodovsuren B. · Reviewed almost 2 years ago

Nattaput K. · Reviewed almost 2 years ago

Aamar H. · Reviewed almost 2 years ago

จิตรภาณุ ช. · Reviewed almost 2 years ago

Scott W. · Reviewed almost 2 years 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 almost 2 years ago

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

Sebastiano D. · Reviewed almost 2 years ago

SAISEN U. · Reviewed almost 2 years 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 almost 2 years ago

Prafful K. · Reviewed almost 2 years ago

Beny A. · Reviewed almost 2 years ago