Opinie (Machine Learning with TensorFlow in Vertex AI)

Jacob P. · Sprawdzono ponad rok temu

Shantanu S. · Sprawdzono ponad rok temu

Panagiotis T. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

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

José Luis G. · Sprawdzono ponad rok temu

Takashi I. · Sprawdzono ponad rok temu

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

Davide S. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

규보 임. · Sprawdzono ponad rok temu

Pablo B. · Sprawdzono ponad rok temu

Unable to create the notebook

Georges E. · Sprawdzono ponad rok temu

Muhammad A. · Sprawdzono ponad rok temu

unable find TensorFlow Enterprise 2.6 under Vertex AI workbench

Hsin-Wen C. · Sprawdzono ponad rok temu

Cait R. · Sprawdzono ponad rok temu

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

Amar J. · Sprawdzono ponad rok temu

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

Jorge M. · Sprawdzono ponad rok temu

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

Vijay R. · Sprawdzono ponad rok temu

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

Georgy S. · Sprawdzono ponad rok temu

Erwin R. · Sprawdzono ponad rok temu

Too many bugs

Danilo C. · Sprawdzono ponad rok temu

ENVIRONMENT ISSUES

Apurva T. · Sprawdzono ponad rok temu

very bad not working

Akash G. · Sprawdzono ponad rok temu

Sauro G. · Sprawdzono ponad rok temu

Nikita M. · Sprawdzono ponad rok temu

Pradheepan R. · Sprawdzono ponad rok temu