Machine Learning with TensorFlow in Vertex AI recensioni

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

Rajesh R. · Recensione inserita oltre un anno fa

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

Viktor S. · Recensione inserita oltre un anno fa

The code provided contains a lot of bugs and errors

Aziz B. · Recensione inserita oltre un anno fa

Jacob P. · Recensione inserita oltre un anno fa

Shantanu S. · Recensione inserita oltre un anno fa

Panagiotis T. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa

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

José Luis G. · Recensione inserita oltre un anno fa

Takashi I. · Recensione inserita oltre un anno fa

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

Davide S. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa

규보 임. · Recensione inserita oltre un anno fa

Pablo B. · Recensione inserita oltre un anno fa

Unable to create the notebook

Georges E. · Recensione inserita oltre un anno fa

Muhammad A. · Recensione inserita oltre un anno fa

unable find TensorFlow Enterprise 2.6 under Vertex AI workbench

Hsin-Wen C. · Recensione inserita oltre un anno fa

Cait R. · Recensione inserita oltre un anno fa

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

Amar J. · Recensione inserita oltre un anno fa

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

Jorge M. · Recensione inserita oltre un anno fa

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

Vijay R. · Recensione inserita oltre un anno fa

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

Georgy S. · Recensione inserita oltre un anno fa

Erwin R. · Recensione inserita oltre un anno fa

Too many bugs

Danilo C. · Recensione inserita oltre un anno fa

ENVIRONMENT ISSUES

Apurva T. · Recensione inserita oltre un anno fa

very bad not working

Akash G. · Recensione inserita oltre un anno fa