Fazer a previsão de dados estruturados usando a plataforma Vertex AI avaliações

박중원 S. · Revisado há 7 months

Afif S. · Revisado há 7 months

박중원 S. · Revisado há 7 months

Hari U. · Revisado há 7 months

Mayur S. · Revisado há 7 months

Arnav T. · Revisado há 7 months

That was pretty fun. One area to improve is in the setup. The instruction state 1-East and the region 4 I believe, however in the screenshot image below that is helpful to see it appears it is outdated, becuase the image does not match the instructions. I followed the instructions in text not the image and the lab seemed to go fine. Hopefully that is helpful. Also, I enjoy the interactive quiz. In grad school I had a professor that gave everyone clickers and he would test the class without notice on what he just taught. Good idea.

Paul D. · Revisado há 7 months

Jessica M. · Revisado há 7 months

Abhishek Kumar G. · Revisado há 7 months

Iyad M. · Revisado há 7 months

sambit m. · Revisado há 7 months

Wentao Z. · Revisado há 7 months

박중원 S. · Revisado há 7 months

박중원 S. · Revisado há 7 months

Katarzyna B. · Revisado há 7 months

Kinga H. · Revisado há 7 months

Alex C. · Revisado há 7 months

There was an error with BigQuery in mk operation

Jorge David G. · Revisado há 7 months

jose ignacio c. · Revisado há 7 months

raman n. · Revisado há 7 months

This doesn't run: %%bash OUTDIR=gs://${BUCKET}/babyweight/trained_model JOBID=babyweight_$(date -u +%y%m%d_%H%M%S) gcloud ai-platform jobs submit training ${JOBID} \ --region=${REGION} \ --module-name=trainer.task \ --package-path=$(pwd)/babyweight/trainer \ --job-dir=${OUTDIR} \ --staging-bucket=gs://${BUCKET} \ --master-machine-type=n1-standard-8 \ --scale-tier=CUSTOM \ --runtime-version=${TFVERSION} \ --python-version=${PYTHONVERSION} \ -- \ --train_data_path=gs://${BUCKET}/babyweight/data/train*.csv \ --eval_data_path=gs://${BUCKET}/babyweight/data/eval*.csv \ --output_dir=${OUTDIR} \ --num_epochs=10 \ --train_examples=10000 \ --eval_steps=100 \ --batch_size=32 \ --nembeds=8 I get the following error: API [ml.googleapis.com] not enabled on project [qwiklabs-gcp-03-53d580d84233]. Would you like to enable and retry (this will take a few minutes)? (y/N)? ERROR: (gcloud.ai-platform.jobs.submit.training) [90577466430-compute@developer.gserviceaccount.com] does not have permission to access projects instance [qwiklabs-gcp-03-53d580d84233] (or it may not exist): AI Platform Training & Prediction API has not been used in project qwiklabs-gcp-03-53d580d84233 before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/ml.googleapis.com/overview?project=qwiklabs-gcp-03-53d580d84233 then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry. This command is authenticated as 90577466430-compute@developer.gserviceaccount.com which is the active account specified by the [core/account] property. Google developers console API activation https://console.developers.google.com/apis/api/ml.googleapis.com/overview?project=qwiklabs-gcp-03-53d580d84233 - '@type': type.googleapis.com/google.rpc.ErrorInfo domain: googleapis.com metadata: consumer: projects/qwiklabs-gcp-03-53d580d84233 service: ml.googleapis.com reason: SERVICE_DISABLED

Loïc B. · Revisado há 7 months

Aaron A. · Revisado há 7 months

It is still using the ai platform instead of vertex

Ernesto B. · Revisado há 7 months

Chitradevi R. · Revisado há 7 months

Oscar R. · Revisado há 7 months