Structured data prediction using Vertex AI Platform recensioni

Luke C. · Recensione inserita oltre 3 anni fa

Alchemical R. · Recensione inserita oltre 3 anni fa

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. · Recensione inserita oltre 3 anni fa

Jesus M. · Recensione inserita oltre 3 anni fa

Pierre-Alexandre D. · Recensione inserita oltre 3 anni fa

P S. · Recensione inserita oltre 3 anni fa

Reshu R. · Recensione inserita oltre 3 anni fa

Karan R. · Recensione inserita oltre 3 anni fa

BO QUAN PATRICK L. · Recensione inserita oltre 3 anni fa

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. · Recensione inserita oltre 3 anni fa

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

Axel D. · Recensione inserita oltre 3 anni fa

Jeyaram G. · Recensione inserita oltre 3 anni fa

Andreas B. · Recensione inserita oltre 3 anni fa

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

Lingchuan C. · Recensione inserita oltre 3 anni fa

Eduardo M. · Recensione inserita oltre 3 anni fa

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. · Recensione inserita oltre 3 anni fa

Tarun B. · Recensione inserita oltre 3 anni fa

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

Mateusz K. · Recensione inserita oltre 3 anni fa

Muhannad B. · Recensione inserita oltre 3 anni fa

José Luis G. · Recensione inserita oltre 3 anni fa

5 stars = Very satisfied

Mrunal H. · Recensione inserita oltre 3 anni fa

Paul B. · Recensione inserita oltre 3 anni fa

Debdeep B. · Recensione inserita oltre 3 anni fa

prashant m. · Recensione inserita oltre 3 anni fa

Ho F. · Recensione inserita oltre 3 anni fa