TFX on Cloud AI Platform Pipelines Reviews

LIZBETH GUADALUPE F. · Reviewed أكثر من سنة ago

Vijay . · Reviewed أكثر من سنة ago

Cédric b. · Reviewed أكثر من سنة ago

Andrés C. · Reviewed أكثر من سنة 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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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 أكثر من سنة ago

Sathit P. · Reviewed أكثر من سنة ago

Luis Fernando . · Reviewed أكثر من سنة ago

Krishnan R. · Reviewed أكثر من سنة ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed أكثر من سنة ago

Problem in the workbench based task

Darshan B. · Reviewed أكثر من سنة ago

Mario H. · Reviewed أكثر من سنة ago

Bowon P. · Reviewed أكثر من سنة 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 أكثر من سنة 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 أكثر من سنة ago

cluster would not deploy successfully

Dylan B. · Reviewed أكثر من سنة ago

Ashwani-Kumar S. · Reviewed أكثر من سنة ago

Thanks

Dorjzodovsuren B. · Reviewed أكثر من سنة ago

Nattaput K. · Reviewed أكثر من سنة ago

Aamar H. · Reviewed أكثر من سنة ago

จิตรภาณุ ช. · Reviewed أكثر من سنة ago

Scott W. · Reviewed أكثر من سنة 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 أكثر من سنة ago

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

Sebastiano D. · Reviewed أكثر من سنة ago