Vertex AI: Custom Training Job and Prediction Using Managed Datasets Reviews

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. · Reviewed almost 2 years ago

Rita A. · Reviewed almost 2 years ago

Joseph M. · Reviewed almost 2 years ago

Wahaj S. · Reviewed almost 2 years ago

Oshadha S. · Reviewed almost 2 years ago

Jordi B. · Reviewed almost 2 years ago

Edwin Isaac S. · Reviewed almost 2 years ago

Joe M. · Reviewed almost 2 years ago

Muhammad Saif Z. · Reviewed almost 2 years ago

Oliwer B. · Reviewed almost 2 years ago

Dzmitry S. · Reviewed almost 2 years ago

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. · Reviewed almost 2 years ago

Vishaal S. · Reviewed almost 2 years ago

mist. S. · Reviewed almost 2 years ago

Vijay Y. · Reviewed almost 2 years ago

Tot N. · Reviewed almost 2 years ago

Palak S. · Reviewed almost 2 years ago

Hitesh K. · Reviewed almost 2 years ago

Rohan D. · Reviewed almost 2 years ago

Ankit R. · Reviewed almost 2 years ago

Sergio Adolfo D. · Reviewed almost 2 years ago

Omar Y. · Reviewed almost 2 years ago

Out of date and doesn't work from Task 4 onwards.

Sam A. · Reviewed almost 2 years ago

Omar Y. · Reviewed almost 2 years ago

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 Most of the lab description is either out of date with GCP UI or badly described.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. · Reviewed almost 2 years ago