TFX on Cloud AI Platform Pipelines Reviews

LIZBETH GUADALUPE F. · Reviewed больше 1 года ago

Vijay . · Reviewed больше 1 года ago

Cédric b. · Reviewed больше 1 года ago

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Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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

Sathit P. · Reviewed больше 1 года ago

Luis Fernando . · Reviewed больше 1 года ago

Krishnan R. · Reviewed больше 1 года ago

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Reviewed больше 1 года ago

Problem in the workbench based task

Darshan B. · Reviewed больше 1 года ago

Mario H. · Reviewed больше 1 года ago

Bowon P. · Reviewed больше 1 года 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 больше 1 года 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 больше 1 года ago

cluster would not deploy successfully

Dylan B. · Reviewed больше 1 года ago

Ashwani-Kumar S. · Reviewed больше 1 года ago

Thanks

Dorjzodovsuren B. · Reviewed больше 1 года ago

Nattaput K. · Reviewed больше 1 года ago

Aamar H. · Reviewed больше 1 года ago

จิตรภาณุ ช. · Reviewed больше 1 года ago

Scott W. · Reviewed больше 1 года 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 больше 1 года ago

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

Sebastiano D. · Reviewed больше 1 года ago