关于“TFX Standard Components Walkthrough”的评价

JEROME J. · 评论over 2 years之前

Tan B. · 评论over 2 years之前

Sumeet P. · 评论over 2 years之前

some of the code didn't work and I couldn't get past the example gen part

Bill K. · 评论over 2 years之前

errors everywhere

Manuel A. · 评论over 2 years之前

This lab cannot be completed as the notebooks use Python 3.10 but tfx only supports up to Python 3.9

Abdul Z. · 评论over 2 years之前

Terence H. · 评论over 2 years之前

labs present tons of errors due components versioning

Sergio R. · 评论over 2 years之前

Wasn't able to open JupyterLab. KubeFlow instance was created but when clicked on 'Check my progress', it wasn't showing that I completed the task.

Sambit A. · 评论over 2 years之前

Had the following issue and couldn't pass from task 2: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-01-702e4ba2b28a.

Raul A. · 评论over 2 years之前

Had the following issue and couldn't pass from task 2: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '50.0'. project has a quota of '250.0' with '250.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=first-scout-395621.

Raul A. · 评论over 2 years之前

Susan F. · 评论over 2 years之前

Faulty instructions, there is no AI Platform, there is no create instance on Vertex AI Pipelines page. Tensorflow data validation library is not installed and installing permission is denied.

Arslan A. · 评论over 2 years之前

Alejandro V. · 评论over 2 years之前

I am really disappointed. The lab was unsuccessfull due to internal error in GCP., maybe lack of resources. Never succeded with resources created in US-central 1. The poor documentation has stolen 50 min of the lab time prior to starting real AI process

Dariusz B. · 评论over 2 years之前

Juanesh B. · 评论over 2 years之前

Need to use TF 2.3 image with debian 10 since TFDV doesn't work with Python 10 of the TF 2.11 debian 11 image. TFMA has no display widgets. Start Notebook from Vertex AI and enable all the recommended APIs for Vertex, otherwise the Notebook book from AI Platform get stuck. This TFX lab has much more room to improve. I don't know why KF pipeline 2.0 is necessary at all.

Yingding W. · 评论over 2 years之前

I am really disappointed. The lab was unsuccessfull due to internal error in GCP., maybe lack of resources. I have lost a ot of time just prior to the exam. no chance to make any remediation.

Dariusz B. · 评论over 2 years之前

Jose R. · 评论over 2 years之前

A total failure 1. Task 3, there is no notebook under AI Platform 2. You can create the Notebook in the Vortex AI but when doing the pip install, the library could not be installed. This is an entire failure

Joseph C. · 评论over 2 years之前

it still doesn't work! Cluster won't start.

Paul M. · 评论over 2 years之前

leon s. · 评论over 2 years之前

I am really disappointed. The lab was unsuccessfull due to internal error in GCP., maybe lack of resources. I have lost a ot of time just prior to the exam. no chance to make any remediation.

Dariusz B. · 评论over 2 years之前

Could not successfully deploy the GKE cluster.

Maciej K. · 评论over 2 years之前

Jens J. · 评论over 2 years之前