关于“[Deprecated] TFX Metadata”的评价

the code is not running in the Exploring ML Metadata --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) /tmp/ipykernel_21569/3443186458.py in <module> ----> 1 for artifact_type in store.get_artifact_types(): 2 print(artifact_type.name) AttributeError: 'Metadata' object has no attribute 'get_artifact_types'

JULIO A. · 评论over 1 year之前

Steven D. · 评论over 1 year之前

Adriel Y. · 评论over 1 year之前

Carlos S. · 评论over 1 year之前

Ruben D. · 评论over 1 year之前

laging

Volodymyr P. · 评论over 1 year之前

Pallavi A. · 评论over 1 year之前

Harold H. · 评论over 1 year之前

Nils H. · 评论over 1 year之前

Carlos O. · 评论over 1 year之前

Ahmad A. · 评论over 1 year之前

Sean p. · 评论over 1 year之前

not quite understand the innerworkings, also some components are deprecated

Jeffrey Z. · 评论over 1 year之前

I couldn't start because I didn't create the cluster for Kubeflow

Ruben D. · 评论over 1 year之前

Andrea I. · 评论over 1 year之前

Shiva Krishna S. · 评论over 1 year之前

Good practice!

Sandeep K. · 评论over 1 year之前

GIRISH KUMAR S. · 评论over 1 year之前

Pramod W. · 评论over 1 year之前

The steps that are evaluated are all repetitions of what had been done in previous labs. The new steps can only be reached after waiting > 45 min for a pipeline to run. In my case, the tuner component failed in spite of my having followed all instructions, which only became apparent after 50 min. So I waited all that time in vain. It would be better to load metadata from an existing saved run (giving access permissions).

Matthias G. · 评论over 1 year之前

Yuka T. · 评论over 1 year之前

Aashish M. · 评论over 1 year之前

Unable to create a pipeline. Not all the components are getting built and its throwing error. Proper guidance is also not there to finish the lab

Saranya J. · 评论over 1 year之前

David T. · 评论over 1 year之前

Unable to create a pipeline. Not all the components are getting built and its throwing error. Proper guidance is also not there to finish the lab

Saranya J. · 评论over 1 year之前