Machine Learning with TensorFlow in Vertex AI Reviews

Full of errors. The environment cannot even run predetermined code. What a shame.

Rajesh R. · Reviewed 1 yıldan fazla ago

Hard to get to resources to be able to even start the notebook.

Viktor S. · Reviewed 1 yıldan fazla ago

The code provided contains a lot of bugs and errors

Aziz B. · Reviewed 1 yıldan fazla ago

Jacob P. · Reviewed 1 yıldan fazla ago

Shantanu S. · Reviewed 1 yıldan fazla ago

Panagiotis T. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

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

José Luis G. · Reviewed 1 yıldan fazla ago

Takashi I. · Reviewed 1 yıldan fazla ago

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

Davide S. · Reviewed 1 yıldan fazla 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 1 yıldan fazla ago

규보 임. · Reviewed 1 yıldan fazla ago

Pablo B. · Reviewed 1 yıldan fazla ago

Unable to create the notebook

Georges E. · Reviewed 1 yıldan fazla ago

Muhammad A. · Reviewed 1 yıldan fazla ago

unable find TensorFlow Enterprise 2.6 under Vertex AI workbench

Hsin-Wen C. · Reviewed 1 yıldan fazla ago

Cait R. · Reviewed 1 yıldan fazla ago

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

Amar J. · Reviewed 1 yıldan fazla ago

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

Jorge M. · Reviewed 1 yıldan fazla ago

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

Vijay R. · Reviewed 1 yıldan fazla ago

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

Georgy S. · Reviewed 1 yıldan fazla ago

Erwin R. · Reviewed 1 yıldan fazla ago

Too many bugs

Danilo C. · Reviewed 1 yıldan fazla ago

ENVIRONMENT ISSUES

Apurva T. · Reviewed 1 yıldan fazla ago

very bad not working

Akash G. · Reviewed 1 yıldan fazla ago