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

Sunil K. · 评论over 1 year之前

code is outdated

Gerardo F. · 评论over 1 year之前

Mistakes at som epoints

Christopher S. · 评论over 1 year之前

Adam S. · 评论over 1 year之前

Paweł P. · 评论over 1 year之前

perfectly explained

Octavio d. · 评论over 1 year之前

Avner A. · 评论over 1 year之前

Jerzy B. · 评论over 1 year之前

good

Yuliana A. · 评论over 1 year之前

Took some time to fix package dependency issues

Aliaksei S. · 评论over 1 year之前

Martin L. · 评论over 1 year之前

arun p. · 评论over 1 year之前

Code is not running, it needs to be updated or you have to give more precise instructions and indications.

JULIO A. · 评论over 1 year之前

there is an error during the model packaging, but I moved ahead ignoring it and all the steps worked. it would be good either we fix the error or else mention it in the lab instructions to ignore it.

Sudharshan N. · 评论over 1 year之前

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. ydata-profiling 4.6.0 requires pandas!=1.4.0,<2.1,>1.1, but you have pandas 2.1.4 which is incompatible. trainer 0.1 requires dask[dataframe]==2021.2.0, but you have dask 2023.12.1 which is incompatible. trainer 0.1 requires gcsfs==0.7.1, but you have gcsfs 2023.10.0 which is incompatible. trainer 0.1 requires google-cloud-bigquery-storage==1.0.0, but you have google-cloud-bigquery-storage 2.22.0 which is incompatible. trainer 0.1 requires six==1.15.0, but you have six 1.16.0 which is incompatible. Successfully installed dask-2023.12.1 pandas-2.1.4

Andreas H. · 评论over 1 year之前

dwwdqwwswsd

Avirup D. · 评论over 1 year之前

There were some issues with trainer/task.py code

Kavan A. · 评论over 1 year之前

Diogo A. · 评论over 1 year之前

quite satisfied

Shouket A. · 评论over 1 year之前

Was a good lab until your dependencies were broken for the setup.py .AttributeError: module 'pandas' has no attribute 'Int64Index' dask. Please actually freeze the full requirements!

Oliver H. · 评论over 1 year之前

not any problem!, it could be more explaining than showing!

Sebastián C. · 评论over 1 year之前

Timothy J. · 评论over 1 year之前

Piotr T. · 评论over 1 year之前

pandas = 1.1.5

Adrian B. · 评论over 1 year之前

Sam W. · 评论over 1 year之前