关于“TFX Standard Components Walkthrough”的评价

cluster is not getting created to deploy at task 2

Grishma S. · 评论over 2 years之前

Kubeflow was stuck and didnt deploy

Harry B. · 评论over 2 years之前

Big issue with resources in US regions, no available pipeline capacity, deploying takes 10 times more than its written on the walkthrough (20 mins instead of 2-3 mins), Jupyterlab wasnt working in a new tab at all and now I will need to waste another 2 hours to finish this lab...

Harry B. · 评论over 2 years之前

Rohith S. · 评论over 2 years之前

there is an error

Luckkumikanthan L. · 评论over 2 years之前

unable to create cluster in ai platform pipeline

Pinxu C. · 评论over 2 years之前

libraries don't work, a lot of import errors. Libraries not availables

Israel S. · 评论over 2 years之前

Again the lab is outdated. TFDV is not compatible with the python version provided in the lab so basically nothing is working

Mahdy S. · 评论over 2 years之前

Alvin J. · 评论over 2 years之前

Suttipong K. · 评论over 2 years之前

Please update the lab

Nick C. · 评论over 2 years之前

AI Platform no longer has "Notebooks", they're part of Vertex AI now, and this progress check doesn't understand that. Can't finish lab. Urgently needs updating to TF2.11 or at least 2.6. This code does not work as-is.

Scott T. · 评论over 2 years之前

there is an error

Luckkumikanthan L. · 评论over 2 years之前

Unable to create cluster

Shashi G. · 评论over 2 years之前

I faced the problem with unability to import tensorflow_data_validation modeule and got an exception: ModuleNotFoundError: No module named 'tensorflow_data_validation' I also tried to install it but got: ERROR: Could not find a version that satisfies the requirement tensorflow-data-validation (from versions: none) ERROR: No matching distribution found for tensorflow-data-validation I couldn't finish the lab because of these exceptions

Katsiaryna S. · 评论over 2 years之前

Unable to create cluster

Shashi G. · 评论over 2 years之前

Unable to create notebook

Shashi G. · 评论over 2 years之前

Shashi G. · 评论over 2 years之前

Lucas V. · 评论over 2 years之前

labs present tons of errors due components versioning

Sergio R. · 评论over 2 years之前

labs present tons of errors due components versioning

Sergio R. · 评论over 2 years之前

Lucas V. · 评论over 2 years之前

The lab requires TF 2.3.1, so it's easier to get it working if you start with a 2.3.x machine and then install the required components instead of using the currently recommended 2.11 notebook, which has issues with breaking compatibility with the required versions of TF and Python, etc.

Jonnie B. · 评论over 2 years之前

Lab does not work because of versions mismatch, very annoying

Guillaume F. · 评论over 2 years之前

platform failed at task 2, tried twice, cluster wasn't created. chatted with support (Rahul Mitkari). They couldn't finish task either and asked to stop lab and wait for email

Nataliya Z. · 评论over 2 years之前