关于“Vertex SDK: Custom Training Tabular Regression Models for Online Prediction and Explainability”的评价

Rommy C. · 已于 over 2 years前审核

import tensorflow as tf local_model = tf.keras.models.load_model(MODEL_DIR) 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 If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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).

Nick S. · 已于 almost 3 years前审核

Example does not work :(

ŁUKASZ M. · 已于 almost 3 years前审核

Vincenzo D. · 已于 almost 3 years前审核

k

Pabitra S. · 已于 almost 3 years前审核

Abhishek1 G. · 已于 almost 3 years前审核

Maks S. · 已于 almost 3 years前审核

Nicolas Alejandro L. · 已于 almost 3 years前审核

error to import tensorflow as tf

Magda M. · 已于 almost 3 years前审核

Sergii K. · 已于 almost 3 years前审核

Kernel dies

David G. · 已于 almost 3 years前审核

Skandarajan R. · 已于 almost 3 years前审核

Bruno B. · 已于 almost 3 years前审核

getting error: 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 If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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).

sunny s. · 已于 almost 3 years前审核

Sergazy N. · 已于 almost 3 years前审核

Matías M. · 已于 almost 3 years前审核

broken. need to downgrade the protobuf package otherwise the lab doesn't run. pip install 'protobuf<=3.20.1' --force-reinstall (requires kernel restart)

Aurélien-Morgan C. · 已于 almost 3 years前审核

Henrik T. · 已于 almost 3 years前审核

James V. · 已于 almost 3 years前审核

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 If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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

Laurent P. · 已于 almost 3 years前审核

Eugene L. · 已于 almost 3 years前审核

Sanzhar M. · 已于 almost 3 years前审核

Prashanth N. · 已于 almost 3 years前审核

Sharick M. · 已于 almost 3 years前审核

Pongthorn S. · 已于 almost 3 years前审核