关于“Vertex AI: Custom Training Job and Prediction Using Managed Datasets”的评价

I believe this qwiklab needs a refresh. There are some minor changes in how notebooks are being created (button names, etc.), but the major issue is that the provided code doesn't work when run manually (Task 3). I received following errors: 1) AttributeError: module 'pandas' has no attribute 'Int64Index' - this was easy to fix by removing GCS import functionality not used in this lab 2) Bigger issue are errors related to the fact that when run manually the code tries to substitute treat name and sex as NUMERIC fields and fails to convert them to float. I didn't have enough time to fix this. Regardless to the code issues while running manually the code works correctly in following tasks, so I was able to successful train, deploy and predict. Nevertheless I was almost about to stop after failing the Task 3.

Remigiusz S. · 已于 almost 2 years前审核

Rita A. · 已于 almost 2 years前审核

Joseph M. · 已于 almost 2 years前审核

Wahaj S. · 已于 almost 2 years前审核

Oshadha S. · 已于 almost 2 years前审核

Jordi B. · 已于 almost 2 years前审核

Edwin Isaac S. · 已于 almost 2 years前审核

Joe M. · 已于 almost 2 years前审核

Muhammad Saif Z. · 已于 almost 2 years前审核

Oliwer B. · 已于 almost 2 years前审核

Dzmitry S. · 已于 almost 2 years前审核

It worked well on my own gcp account, but on the lab account the training job failed with a permission to bigquery error. Also in both cases there was an error related to pandas version, solved by installing pandas 1.4.0 or below.

Sergio Adolfo D. · 已于 almost 2 years前审核

Vishaal S. · 已于 almost 2 years前审核

mist. S. · 已于 almost 2 years前审核

Vijay Y. · 已于 almost 2 years前审核

Tot N. · 已于 almost 2 years前审核

Palak S. · 已于 almost 2 years前审核

Hitesh K. · 已于 almost 2 years前审核

Rohan D. · 已于 almost 2 years前审核

Ankit R. · 已于 almost 2 years前审核

Sergio Adolfo D. · 已于 almost 2 years前审核

Omar Y. · 已于 about 2 years前审核

Out of date and doesn't work from Task 4 onwards.

Sam A. · 已于 about 2 years前审核

Omar Y. · 已于 about 2 years前审核

1. Notebook creation is poorly explained and does not match UI (what tab?, what kind of instance?) this results in issues when trying to train in the Jupyter environment 2. Most of the lab description is either out of date with GCP UI or badly described. The jupyter screenshot does not match the real instance. etc 3. Deployment of trained model fails with: Failed to create endpoint "titanic_endpoint" due to the error: Model artifact directory is expected to contain exactly one of: [saved_model.pb, saved_model.pbtxt]. Please re-upload the Model with correct artifact directory..

Topoleanu T. · 已于 about 2 years前审核