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

ALLEN JUSTIN A. · 已于 almost 2 years前审核

Erzhigit A. · 已于 almost 2 years前审核

Jit Seah A. · 已于 almost 2 years前审核

Anita G. · 已于 almost 2 years前审核

Luiz Henrique V. · 已于 almost 2 years前审核

Роза Р. · 已于 almost 2 years前审核

Nasko V. · 已于 almost 2 years前审核

Samuel B. · 已于 almost 2 years前审核

Errors during model setup, instructions are not specific enough

Vadym K. · 已于 almost 2 years前审核

Seiitzhappar K. · 已于 almost 2 years前审核

Sourabh J. · 已于 almost 2 years前审核

Sravanthi K. · 已于 almost 2 years前审核

Roman T. · 已于 almost 2 years前审核

Vishal M. · 已于 almost 2 years前审核

Vladimir K. · 已于 almost 2 years前审核

Arushi B. · 已于 almost 2 years前审核

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

Michael G. · 已于 almost 2 years前审核

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

Cathey W. · 已于 almost 2 years前审核

Aizada S. · 已于 almost 2 years前审核

Very good!!!

Kenzhe Y. · 已于 almost 2 years前审核

The python code does not work.

Jakub J. · 已于 almost 2 years前审核

Oreste A. · 已于 almost 2 years前审核

The lab did not start

Jakub J. · 已于 almost 2 years前审核

Neha R. · 已于 almost 2 years前审核

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