[DEPRECATED] TFX on Cloud AI Platform Pipelines Rezensionen

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Vor fast 2 Jahre überprüft

Sathit P. · Vor fast 2 Jahre überprüft

Luis Fernando . · Vor fast 2 Jahre überprüft

Krishnan R. · Vor fast 2 Jahre überprüft

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Vor fast 2 Jahre überprüft

Problem in the workbench based task

Darshan B. · Vor fast 2 Jahre überprüft

Mario H. · Vor fast 2 Jahre überprüft

Bowon P. · Vor fast 2 Jahre überprüft

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. · Vor fast 2 Jahre überprüft

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. · Vor fast 2 Jahre überprüft

cluster would not deploy successfully

Dylan B. · Vor fast 2 Jahre überprüft

Ashwani-Kumar S. · Vor fast 2 Jahre überprüft

Thanks

Dorjzodovsuren B. · Vor fast 2 Jahre überprüft

Nattaput K. · Vor fast 2 Jahre überprüft

Aamar H. · Vor fast 2 Jahre überprüft

จิตรภาณุ ช. · Vor fast 2 Jahre überprüft

Scott W. · Vor fast 2 Jahre überprüft

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. · Vor fast 2 Jahre überprüft

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

Sebastiano D. · Vor fast 2 Jahre überprüft

SAISEN U. · Vor fast 2 Jahre überprüft

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

John H. · Vor fast 2 Jahre überprüft

Prafful K. · Vor fast 2 Jahre überprüft

Beny A. · Vor fast 2 Jahre überprüft