Machine Learning avec TensorFlow dans Vertex AI avis

Jacob P. · Examiné il y a plus d'un an

Shantanu S. · Examiné il y a plus d'un an

Panagiotis T. · Examiné il y a plus d'un an

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. · Examiné il y a plus d'un an

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

José Luis G. · Examiné il y a plus d'un an

Takashi I. · Examiné il y a plus d'un an

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

Davide S. · Examiné il y a plus d'un an

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. · Examiné il y a plus d'un an

규보 임. · Examiné il y a plus d'un an

Pablo B. · Examiné il y a plus d'un an

Unable to create the notebook

Georges E. · Examiné il y a plus d'un an

Muhammad A. · Examiné il y a plus d'un an

unable find TensorFlow Enterprise 2.6 under Vertex AI workbench

Hsin-Wen C. · Examiné il y a plus d'un an

Cait R. · Examiné il y a plus d'un an

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

Amar J. · Examiné il y a plus d'un an

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

Jorge M. · Examiné il y a plus d'un an

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

Vijay R. · Examiné il y a plus d'un an

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

Georgy S. · Examiné il y a plus d'un an

Erwin R. · Examiné il y a plus d'un an

Too many bugs

Danilo C. · Examiné il y a plus d'un an

ENVIRONMENT ISSUES

Apurva T. · Examiné il y a plus d'un an

very bad not working

Akash G. · Examiné il y a plus d'un an

Sauro G. · Examiné il y a plus d'un an

Nikita M. · Examiné il y a plus d'un an

Pradheepan R. · Examiné il y a plus d'un an