关于“Using custom containers with AI Platform Training”的评价

getting access denied. not able to complete the labs

Naveen K. · 已于 almost 3 years前审核

Paul C. · 已于 almost 3 years前审核

Subrata M. · 已于 almost 3 years前审核

Ricardo A. · 已于 almost 3 years前审核

Anh H. · 已于 almost 3 years前审核

Dr P. · 已于 almost 3 years前审核

Needed to put %%bigquery --use_rest_api (the flag), so that when running the cell it does not give error (Explore the Convertype dataset section of the notebook)

Daniel S. · 已于 almost 3 years前审核

Unable to complete lab because the Vertex AI Notebook will not open. It throws 401 error always. Pathetic

Manish A. · 已于 almost 3 years前审核

Selim D. · 已于 almost 3 years前审核

naoki n. · 已于 almost 3 years前审核

Arsenii H. · 已于 almost 3 years前审核

Trung N. · 已于 almost 3 years前审核

There were many issues in the code and the training job kept failing, even after I double checked every step and used the codes from the provided sample notebook. Here is the error: Hyperparameter Tuning Trial #4 Failed before any other successful trials were completed. The failed trial had parameters: max_iter=500, alpha=0.00088325608073217194, . The trial's error message was: The replica master 0 exited with a non-zero status of 127. To find out more about why your job exited please check the logs: https://console.cloud.google.com/logs/viewer?project=422400660485&resource=ml_job%2Fjob_id%2FJOB_20230124_134329&advancedFilter=resource.type%3D%22ml_job%22%0Aresource.labels.job_id%3D%22JOB_20230124_134329%22

Andrew S. · 已于 almost 3 years前审核

JEANNE S. · 已于 almost 3 years前审核

Georg B. · 已于 almost 3 years前审核

Sanghamitra D. · 已于 almost 3 years前审核

Rabi Sankar D. · 已于 almost 3 years前审核

Agustín M. · 已于 almost 3 years前审核

Masoud M. · 已于 almost 3 years前审核

There was some error about path (like in pandas to read the gs://file that was difficult to run) Another error was "python cant open file train.py". And I couldn't fix it this :(

Guilherme G. · 已于 almost 3 years前审核

Pedro B. · 已于 almost 3 years前审核

Dakotah J. · 已于 almost 3 years前审核

too much to cover in one lab. It could have been split into smaller chunks like the lecture were split for better grasp. Having to do all this in one lab with so less time makes you go to the solution quickly.

Aachin C. · 已于 almost 3 years前审核

TE C. · 已于 almost 3 years前审核

Sahar N. · 已于 almost 3 years前审核