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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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

Sathit P. · Reviewed почти 2 лет ago

Luis Fernando . · Reviewed почти 2 лет ago

Krishnan R. · Reviewed почти 2 лет ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed почти 2 лет ago

Problem in the workbench based task

Darshan B. · Reviewed почти 2 лет ago

Mario H. · Reviewed почти 2 лет ago

Bowon P. · Reviewed почти 2 лет 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 почти 2 лет 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 почти 2 лет ago

cluster would not deploy successfully

Dylan B. · Reviewed почти 2 лет ago

Ashwani-Kumar S. · Reviewed почти 2 лет ago

Thanks

Dorjzodovsuren B. · Reviewed почти 2 лет ago

Nattaput K. · Reviewed почти 2 лет ago

Aamar H. · Reviewed почти 2 лет ago

จิตรภาณุ ช. · Reviewed почти 2 лет ago

Scott W. · Reviewed почти 2 лет 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 почти 2 лет ago

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

Sebastiano D. · Reviewed почти 2 лет ago

SAISEN U. · Reviewed почти 2 лет 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 почти 2 лет ago

Prafful K. · Reviewed почти 2 лет ago

Beny A. · Reviewed почти 2 лет ago