TFX on Cloud AI Platform Pipelines Reviews

LIZBETH GUADALUPE F. · Reviewed 1 yıldan fazla ago

Vijay . · Reviewed 1 yıldan fazla ago

Cédric b. · Reviewed 1 yıldan fazla ago

Andrés C. · Reviewed 1 yıldan fazla 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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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 1 yıldan fazla ago

Sathit P. · Reviewed 1 yıldan fazla ago

Luis Fernando . · Reviewed 1 yıldan fazla ago

Krishnan R. · Reviewed 1 yıldan fazla ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed 1 yıldan fazla ago

Problem in the workbench based task

Darshan B. · Reviewed 1 yıldan fazla ago

Mario H. · Reviewed 1 yıldan fazla ago

Bowon P. · Reviewed 1 yıldan fazla 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 1 yıldan fazla 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 1 yıldan fazla ago

cluster would not deploy successfully

Dylan B. · Reviewed 1 yıldan fazla ago

Ashwani-Kumar S. · Reviewed 1 yıldan fazla ago

Thanks

Dorjzodovsuren B. · Reviewed 1 yıldan fazla ago

Nattaput K. · Reviewed 1 yıldan fazla ago

Aamar H. · Reviewed 1 yıldan fazla ago

จิตรภาณุ ช. · Reviewed 1 yıldan fazla ago

Scott W. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

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

Sebastiano D. · Reviewed 1 yıldan fazla ago