[DEPRECATED] TFX on Cloud AI Platform Pipelines recensioni

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Recensione inserita quasi 2 anni fa

Sathit P. · Recensione inserita quasi 2 anni fa

Luis Fernando . · Recensione inserita quasi 2 anni fa

Krishnan R. · Recensione inserita quasi 2 anni fa

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Recensione inserita quasi 2 anni fa

Problem in the workbench based task

Darshan B. · Recensione inserita quasi 2 anni fa

Mario H. · Recensione inserita quasi 2 anni fa

Bowon P. · Recensione inserita quasi 2 anni fa

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. · Recensione inserita quasi 2 anni fa

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. · Recensione inserita quasi 2 anni fa

cluster would not deploy successfully

Dylan B. · Recensione inserita quasi 2 anni fa

Ashwani-Kumar S. · Recensione inserita quasi 2 anni fa

Thanks

Dorjzodovsuren B. · Recensione inserita quasi 2 anni fa

Nattaput K. · Recensione inserita quasi 2 anni fa

Aamar H. · Recensione inserita quasi 2 anni fa

จิตรภาณุ ช. · Recensione inserita quasi 2 anni fa

Scott W. · Recensione inserita quasi 2 anni fa

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. · Recensione inserita quasi 2 anni fa

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

Sebastiano D. · Recensione inserita quasi 2 anni fa

SAISEN U. · Recensione inserita quasi 2 anni fa

tfx-on-googlecloud workbook wasn't created correctly by the lab. Had to restart in order for it to be created.

John H. · Recensione inserita quasi 2 anni fa

Prafful K. · Recensione inserita quasi 2 anni fa

Beny A. · Recensione inserita quasi 2 anni fa