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

Luke C. · 评论over 3 years之前

Alchemical R. · 评论over 3 years之前

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. · 评论over 3 years之前

Jesus M. · 评论over 3 years之前

Pierre-Alexandre D. · 评论over 3 years之前

P S. · 评论over 3 years之前

Reshu R. · 评论over 3 years之前

Karan R. · 评论over 3 years之前

BO QUAN PATRICK L. · 评论over 3 years之前

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. · 评论over 3 years之前

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

Axel D. · 评论over 3 years之前

Jeyaram G. · 评论over 3 years之前

Andreas B. · 评论over 3 years之前

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

Lingchuan C. · 评论over 3 years之前

Eduardo M. · 评论over 3 years之前

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. · 评论over 3 years之前

Tarun B. · 评论over 3 years之前

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

Mateusz K. · 评论over 3 years之前

Muhannad B. · 评论over 3 years之前

José Luis G. · 评论over 3 years之前

5 stars = Very satisfied

Mrunal H. · 评论over 3 years之前

Paul B. · 评论over 3 years之前

Debdeep B. · 评论over 3 years之前

prashant m. · 评论over 3 years之前

Ho F. · 评论over 3 years之前