关于“Structured data prediction using Vertex AI Platform”的评价

Luke C. · 已于 over 3 years前审核

Alchemical R. · 已于 over 3 years前审核

When checking the directory structure both inputs produced "CommandException: One or more URLs matched no objects." And I had run into an issue with region, my notebook was in us-west1-b, when i deployed a trained model the region was not available.

Tony R. · 已于 over 3 years前审核

Jesus M. · 已于 over 3 years前审核

Pierre-Alexandre D. · 已于 over 3 years前审核

P S. · 已于 over 3 years前审核

Reshu R. · 已于 over 3 years前审核

Karan R. · 已于 over 3 years前审核

BO QUAN PATRICK L. · 已于 over 3 years前审核

missing instruction, needed to tweak things to get the notebook run and train the model, the last part on deploying the model did not work so this lab needed more fixed on it.

Elis T. · 已于 over 3 years前审核

Pretty clear, quite the same as End-to-End ML, but no real practice of Vertex

Axel D. · 已于 over 3 years前审核

Jeyaram G. · 已于 over 3 years前审核

Andreas B. · 已于 over 3 years前审核

The command line are still using the old AI platform, not the Vertex AI.

Lingchuan C. · 已于 over 3 years前审核

Eduardo M. · 已于 over 3 years前审核

The lab was titled "Structured data prediction using Vertex AI", but the only VertexAI-oriented detail was creating a notebook in Vertex AI — which, btw, is virtually the same as in Google AI Platform. This clickbait-y nature is even reflected in the summary: "how to trained, evaluate, and deploy a machine learning model in Vertex AI Notebooks" (note how they replaced the word "Platform" with just "Notebooks"). The lab is so not-Vertex-AI-oriented, even the created jobs and models are not displayed in Vertex AI's menus, but in AI Platform's, where one is greeted with the following message: "This is AI Platform. Migrate your resources to Vertex AI to get the latest features like data labeling, AutoML-powered training, and endpoint management." How ironic ;). --- BTW, what is the sense of checking the existence of the same files in two consecutive commands? Is there a possibility that the created CSV files disappear instantaneously after a single `gsutil ls`? The commands, for reference: """ Verify CSV creation Verify that we correctly created the CSV files in our bucket. ``` %%bash gsutil ls gs://${BUCKET}/babyweight/data/*.csv ``` Check data exists Verify that you previously created CSV files we'll be using for training and evaluation. ``` %%bash gsutil ls gs://${BUCKET}/babyweight/data/*000000000000.csv ``` """

Mateusz Z. · 已于 over 3 years前审核

Tarun B. · 已于 over 3 years前审核

I wasn't able to complete the task since some error related to access to Google Storage Bucket showed up

Mateusz K. · 已于 over 3 years前审核

Muhannad B. · 已于 over 3 years前审核

José Luis G. · 已于 over 3 years前审核

5 stars = Very satisfied

Mrunal H. · 已于 over 3 years前审核

Paul B. · 已于 over 3 years前审核

Debdeep B. · 已于 over 3 years前审核

prashant m. · 已于 over 3 years前审核

Ho F. · 已于 over 3 years前审核