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

3364 reviews

ALLEN JUSTIN A. · Reviewed almost 2 years ago

Erzhigit A. · Reviewed almost 2 years ago

Jit Seah A. · Reviewed almost 2 years ago

Anita G. · Reviewed almost 2 years ago

Luiz Henrique V. · Reviewed almost 2 years ago

Роза Р. · Reviewed almost 2 years ago

Nasko V. · Reviewed almost 2 years ago

Samuel B. · Reviewed almost 2 years ago

Errors during model setup, instructions are not specific enough

Vadym K. · Reviewed almost 2 years ago

Seiitzhappar K. · Reviewed almost 2 years ago

Sourabh J. · Reviewed almost 2 years ago

Sravanthi K. · Reviewed almost 2 years ago

Roman T. · Reviewed almost 2 years ago

Vishal M. · Reviewed almost 2 years ago

Vladimir K. · Reviewed almost 2 years ago

Arushi B. · Reviewed almost 2 years ago

Could not create required python notebook, due to misleading or missing instructions

Michael G. · Reviewed almost 2 years ago

task.py doesn't work. can't train

Cathey W. · Reviewed almost 2 years ago

Aizada S. · Reviewed almost 2 years ago

Very good!!!

Kenzhe Y. · Reviewed almost 2 years ago

The python code does not work.

Jakub J. · Reviewed almost 2 years ago

Oreste A. · Reviewed almost 2 years ago

The lab did not start

Jakub J. · Reviewed almost 2 years ago

Neha R. · Reviewed almost 2 years ago

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

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