Vertex AI Platform での構造化データを使用した予測 のレビュー

Opening up the jupyterlab was very slow. I wasn't sure if the terminal was working or not because of how long it actually took to start working

Lin Christopher · 約4年前にレビュー済み

Need to activate "Notebook API" for vertex AI

Derycke Daniel · 約4年前にレビュー済み

Rastatter Sean · 約4年前にレビュー済み

Conibear Luke · 約4年前にレビュー済み

Relaypoint Alchemical · 約4年前にレビュー済み

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.

Rapp Tony · 約4年前にレビュー済み

Medina Suastes Jesus · 約4年前にレビュー済み

Desneux Pierre-Alexandre · 約4年前にレビュー済み

Sharma P · 約4年前にレビュー済み

Reshu Reshu · 約4年前にレビュー済み

Rampal Karan · 約4年前にレビュー済み

LIU BO QUAN PATRICK · 約4年前にレビュー済み

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.

T Elis · 約4年前にレビュー済み

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

DE LABRIFFE Axel · 約4年前にレビュー済み

G Jeyaram · 約4年前にレビュー済み

Balster Andreas · 約4年前にレビュー済み

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

Chen Lingchuan · 約4年前にレビュー済み

Muñoz Sala Eduardo · 約4年前にレビュー済み

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 ``` """

Zieliński Mateusz · 約4年前にレビュー済み

Billuri Tarun · 約4年前にレビュー済み

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

Kobos Mateusz · 約4年前にレビュー済み

Bin Mansour Muhannad · 約4年前にレビュー済み

García Nava José Luis · 約4年前にレビュー済み

5 stars = Very satisfied

Hrushikesh Bhosale Mrunal · 約4年前にレビュー済み

Balm Paul · 約4年前にレビュー済み