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

Mudji S. · Revisado há over 1 year

Wang L. · Revisado há over 1 year

Felipe M. · Revisado há over 1 year

Xosya S. · Revisado há over 1 year

Alvian H. · Revisado há over 1 year

Andaru H. · Revisado há over 1 year

Stefan N. · Revisado há over 1 year

Allen B. · Revisado há over 1 year

Avinesh A. · Revisado há over 1 year

it was alright

Bayan M. · Revisado há over 1 year

Jaco M. · Revisado há over 1 year

Tee Zhen Yang A. · Revisado há over 1 year

Ming W. · Revisado há over 1 year

David Augusto F. · Revisado há over 1 year

Well structured and informative real-world use case.

h t. · Revisado há over 1 year

Efan W. · Revisado há over 1 year

Bruno S. · Revisado há over 1 year

VINAYAKA RAM G. · Revisado há over 1 year

Sheo C. · Revisado há over 1 year

Fernando R. · Revisado há over 1 year

Nicolás C. · Revisado há over 1 year

Relevant errors don't let finish the lab correctly: CalledProcessError: Command 'b'BUCKET="qwiklabs-gcp-04-c8fe462e60ea"\nMODEL_NAME="babyweight"\nMODEL_VERSION="ml_on_gcp"\nREGION=\'us-east4\'\nMODEL_LOCATION=$(gsutil ls -ld -- gs://${BUCKET}/babyweight/trained_model/2* \\\n | tail -1 | tr -d \'[:space:]\')\necho "Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION"\n# gcloud ai-platform versions delete ${MODEL_VERSION} --model ${MODEL_NAME}\n# gcloud ai-platform models delete ${MODEL_NAME}\ngcloud ai-platform models create ${MODEL_NAME} --regions ${REGION}\ngcloud ai-platform versions create ${MODEL_VERSION} \\\n --model=${MODEL_NAME} \\\n --origin=${MODEL_LOCATION} \\\n --runtime-version=2.6 \\\n --python-version=3.7\n'' returned non-zero exit status 1.

Vicente W. · Revisado há over 1 year

Furkan K. · Revisado há over 1 year

Eric N. · Revisado há over 1 year

Prakash V. · Revisado há over 1 year