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

ALLEN JUSTIN A. · 评论almost 2 years之前

Erzhigit A. · 评论almost 2 years之前

Jit Seah A. · 评论almost 2 years之前

Anita G. · 评论almost 2 years之前

Luiz Henrique V. · 评论almost 2 years之前

Роза Р. · 评论almost 2 years之前

Nasko V. · 评论almost 2 years之前

Samuel B. · 评论almost 2 years之前

Errors during model setup, instructions are not specific enough

Vadym K. · 评论almost 2 years之前

Seiitzhappar K. · 评论almost 2 years之前

Sourabh J. · 评论almost 2 years之前

Sravanthi K. · 评论almost 2 years之前

Roman T. · 评论almost 2 years之前

Vishal M. · 评论almost 2 years之前

Vladimir K. · 评论almost 2 years之前

Arushi B. · 评论almost 2 years之前

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

Michael G. · 评论almost 2 years之前

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

Cathey W. · 评论almost 2 years之前

Aizada S. · 评论almost 2 years之前

Very good!!!

Kenzhe Y. · 评论almost 2 years之前

The python code does not work.

Jakub J. · 评论almost 2 years之前

Oreste A. · 评论almost 2 years之前

The lab did not start

Jakub J. · 评论almost 2 years之前

Neha R. · 评论almost 2 years之前

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. · 评论almost 2 years之前