Opinie ([DEPRECATED] TFX on Cloud AI Platform Pipelines)

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Sprawdzono prawie 2 lata temu

Sathit P. · Sprawdzono prawie 2 lata temu

Luis Fernando . · Sprawdzono prawie 2 lata temu

Krishnan R. · Sprawdzono prawie 2 lata temu

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Sprawdzono prawie 2 lata temu

Problem in the workbench based task

Darshan B. · Sprawdzono prawie 2 lata temu

Mario H. · Sprawdzono prawie 2 lata temu

Bowon P. · Sprawdzono prawie 2 lata temu

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. · Sprawdzono prawie 2 lata temu

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. · Sprawdzono prawie 2 lata temu

cluster would not deploy successfully

Dylan B. · Sprawdzono prawie 2 lata temu

Ashwani-Kumar S. · Sprawdzono prawie 2 lata temu

Thanks

Dorjzodovsuren B. · Sprawdzono prawie 2 lata temu

Nattaput K. · Sprawdzono prawie 2 lata temu

Aamar H. · Sprawdzono prawie 2 lata temu

จิตรภาณุ ช. · Sprawdzono prawie 2 lata temu

Scott W. · Sprawdzono prawie 2 lata temu

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. · Sprawdzono prawie 2 lata temu

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

Sebastiano D. · Sprawdzono prawie 2 lata temu

SAISEN U. · Sprawdzono prawie 2 lata temu

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

John H. · Sprawdzono prawie 2 lata temu

Prafful K. · Sprawdzono prawie 2 lata temu

Beny A. · Sprawdzono prawie 2 lata temu