关于“Vertex SDK: Custom Training Tabular Regression Models for Online Prediction and Explainability”的评价
评论
Gummadidala K. · 评论over 2 years之前
Good
Shyam Prakash M. · 评论over 2 years之前
Jose R. · 评论over 2 years之前
Shubham G. · 评论over 2 years之前
Federico D. · 评论over 2 years之前
Aditya H. · 评论over 2 years之前
tf on Vertex has a version conflict problem
Anh D. · 评论over 2 years之前
José S. · 评论over 2 years之前
Vincent P. · 评论over 2 years之前
Nathaniel C. · 评论over 2 years之前
Nayan K. · 评论over 2 years之前
Jonathan N. · 评论over 2 years之前
Rômulo C. · 评论over 2 years之前
bug in import TF statement
James G. · 评论over 2 years之前
YELURI K. · 评论over 2 years之前
Rajesh V. · 评论over 2 years之前
Abhilash A. · 评论over 2 years之前
protobuf package is incompatible
Johannes R. · 评论over 2 years之前
Alexandr G. · 评论over 2 years之前
Elesvan J. · 评论over 2 years之前
Alessandro T. · 评论over 2 years之前
Teja M. · 评论over 2 years之前
TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Roger Y. · 评论over 2 years之前
TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Roger Y. · 评论over 2 years之前
TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
Roger Y. · 评论over 2 years之前
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