Machine Learning with TensorFlow in Vertex AI Reviews

Jacob P. · Reviewed أكثر من سنة ago

Shantanu S. · Reviewed أكثر من سنة ago

Panagiotis T. · Reviewed أكثر من سنة ago

unable finish this lab last step due to CalledProcessError: Command 'b'# note TF_VERSION set in 1st cell, but ENDPOINT_NAME is being changed\n# TF_VERSION=2-6\nENDPOINT_NAME=flights_xai\nTIMESTAMP=$(date +%Y%m%d-%H%M%S)\nMODEL_NAME=${ENDPOINT_NAME}-${TIMESTAMP}\nEXPORT_PATH=$(gsutil ls ${OUTDIR}/export | tail -1)\necho $EXPORT_PATH\n# create the model endpoint for deploying the model\nif [[ $(gcloud beta ai endpoints list --region=$REGION \\\n --format=\'value(DISPLAY_NAME)\' --filter=display_name=${ENDPOINT_NAME}) ]]; then\n echo "Endpoint for $MODEL_NAME already exists"\nelse\n # create model endpoint\n echo "Creating Endpoint for $MODEL_NAME"\n gcloud beta ai endpoints create --region=${REGION} --display-name=${ENDPOINT_NAME}\nfi\nENDPOINT_ID=$(gcloud beta ai endpoints list --region=$REGION \\\n --format=\'value(ENDPOINT_ID)\' --filter=display_name=${ENDPOINT_NAME})\necho "ENDPOINT_ID=$ENDPOINT_ID"\n# delete any existing models with this name\nfor MODEL_ID in $(gcloud beta ai models list --region=$REGION --format=\'value(MODEL_ID)\' --filter=display_name=${MODEL_NAME}); do\n echo "Deleting existing $MODEL_NAME ... $MODEL_ID "\n gcloud ai models delete --region=$REGION $MODEL_ID\ndone\n# upload the model using the parameters docker conatiner image, artifact URI, explanation method, \n# explanation path count and explanation metadata JSON file `explanation-metadata.json`. \n# Here, you keep number of feature permutations to `10` when approximating the Shapley values for explanation.\ngcloud beta ai models upload --region=$REGION --display-name=$MODEL_NAME \\\n --container-image-uri=us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.${TF_VERSION}:latest \\\n --artifact-uri=$EXPORT_PATH \\\n --explanation-method=sampled-shapley --explanation-path-count=10 --explanation-metadata-file=explanation-metadata.json\nMODEL_ID=$(gcloud beta ai models list --region=$REGION --format=\'value(MODEL_ID)\' --filter=display_name=${MODEL_NAME})\necho "MODEL_ID=$MODEL_ID"\n# deploy the model to the endpoint\ngcloud beta ai endpoints deploy-model $ENDPOINT_ID \\\n --region=$REGION \\\n --model=$MODEL_ID \\\n --display-name=$MODEL_NAME \\\n --machine-type=n1-standard-2 \\\n --min-replica-count=1 \\\n --max-replica-count=1 \\\n --traffic-split=0=100\n'' returned non-zero exit status 1.

Hsin-Wen C. · Reviewed أكثر من سنة ago

There are no resources available at the specified region to complete the lab.

José Luis G. · Reviewed أكثر من سنة ago

Takashi I. · Reviewed أكثر من سنة ago

I could not create the notebook instance: I got an error saying that not enough resources were availaible

Davide S. · Reviewed أكثر من سنة ago

Initial instructions to do with creating the notebook are out of date. The region you're instructed to use didn't work. Other instructions are out of date. It's more a series of things to paste in than anything instructive of what you're doing and why

Llewellyn R. · Reviewed أكثر من سنة ago

규보 임. · Reviewed أكثر من سنة ago

Pablo B. · Reviewed أكثر من سنة ago

Unable to create the notebook

Georges E. · Reviewed أكثر من سنة ago

Muhammad A. · Reviewed أكثر من سنة ago

unable find TensorFlow Enterprise 2.6 under Vertex AI workbench

Hsin-Wen C. · Reviewed أكثر من سنة ago

Cait R. · Reviewed أكثر من سنة ago

Theres not enough ressources to do this Lab! It was step 1 and encountered the first error... sad.

Amar J. · Reviewed أكثر من سنة ago

could not deploy the instance on us central becaouse of lack of resources in such location.

Jorge M. · Reviewed أكثر من سنة ago

I could access my model endpoint but the checks did not work at Task 6.

Vijay R. · Reviewed أكثر من سنة ago

there were technical issues at first with setting up lab environment, took like 30 mins to do so

Georgy S. · Reviewed أكثر من سنة ago

Erwin R. · Reviewed أكثر من سنة ago

Too many bugs

Danilo C. · Reviewed أكثر من سنة ago

ENVIRONMENT ISSUES

Apurva T. · Reviewed أكثر من سنة ago

very bad not working

Akash G. · Reviewed أكثر من سنة ago

Sauro G. · Reviewed أكثر من سنة ago

Nikita M. · Reviewed أكثر من سنة ago

Pradheepan R. · Reviewed أكثر من سنة ago