[DEPRECATED] TFX on Cloud AI Platform Pipelines recensioni

Swati M. · Recensione inserita oltre 2 anni fa

Job failed. top of directions say to create cludster in useast1a, but the NB trains in uscentral. Is that a problem?

Marcia P. · Recensione inserita oltre 2 anni fa

Venu P. · Recensione inserita oltre 2 anni fa

Abraham R. · Recensione inserita oltre 2 anni fa

Yash J. · Recensione inserita oltre 2 anni fa

Yash J. · Recensione inserita oltre 2 anni fa

Outdated tools, please upgrade. The grading solutions also are not able to get the runs we triggered.

Bhavesh Naresh W. · Recensione inserita oltre 2 anni fa

Harshit P. · Recensione inserita oltre 2 anni fa

Good Lab

Robert M. · Recensione inserita oltre 2 anni fa

Mohammad Irshad K. · Recensione inserita oltre 2 anni fa

PLEASE CHECK TASK Test completed tasks - Deploy the pipeline package to AI Platform Pipelines Click Check my progress to verify the objective. ===The check doesn't change, but I have deployed the pipeline=== MY CODE (SAME IN THE SOLUTION NOTEBOOK) !tfx pipeline create \ --pipeline_path=runner.py \ --endpoint={ENDPOINT} \ --build_target_image={CUSTOM_TFX_IMAGE} THE RESULT CONFIRM THE DEPLOYMENT 'id': 'aa01dbf5-5086-40b8-9e35-4e7578be609e', 'name': 'tfx_covertype_continuous_training', 'parameters': [{'name': 'pipeline-root', 'value': 'gs://qwiklabs-gcp-00-14dd53365c32-kubeflowpipelines-default/tfx_covertype_continuous_training/{{workflow.uid}}'}, {'name': 'data-root-uri', 'value': 'gs://cloud-training/OCBL203/workshop-datasets'}, {'name': 'eval-steps', 'value': '500'}, {'name': 'train-steps', 'value': '5000'}], 'resource_references': None, 'url': None} Please access the pipeline detail page at http://2b597440b79d2c46-dot-us-central1.pipelines.googleusercontent.com/#/pipelines/details/aa01dbf5-5086-40b8-9e35-4e7578be609e Pipeline "tfx_covertype_continuous_training" created successfully. But nothing change!

Sergio B. · Recensione inserita oltre 2 anni fa

Still problems when deploying the pipeline !tfx pipeline create \ --pipeline_path=runner.py \ --endpoint={ENDPOINT} \ --build_target_image={CUSTOM_TFX_IMAGE} It create the pipeline, but cloudskills check 4 doesn't seem to detect the pipeline generated.

Sergio B. · Recensione inserita oltre 2 anni fa

Can't complete, problem with the lab: zones/us-central1-a' does not have enough resources available to fulfill the request.

Robert M. · Recensione inserita oltre 2 anni fa

Robert M. · Recensione inserita oltre 2 anni fa

Could not complete the lab...

Robert M. · Recensione inserita oltre 2 anni fa

unable to resolve errors

Chris T. · Recensione inserita oltre 2 anni fa

Pranav A. · Recensione inserita oltre 2 anni fa

It's impossible to pass last verification points. Deploy to AI Platform Pipeline is not tracked properly, service is deprecated. TFX CLI fails with http 400 on invalid region. UPD: seems like initial setup script is for us-central1 while instructions are for us-west1. TFX run fails with an error on model deploy saying that "The provided GCE region 'us-west1' is not available, or your project needs to be whitelisted to use it. Other available regions are [asia-northeast1, europe-west1, us-central1, us-east1, us-east4].". Details: "[{'@type': 'type.googleapis.com/google.rpc.BadRequest', 'fieldViolations': [{'field': 'model.regions', 'description': "The provided GCE region 'us-west1' is not available, or your project needs to be whitelisted to use it. Other available regions are [asia-northeast1, europe-west1, us-central1, us-east1, us-east4]."}]}]"> During handling of the above exception, another exception occurred:"

Pavel K. · Recensione inserita oltre 2 anni fa

I have tried this lab twice. The first time I couldn't load Workbench under AI Platform. This time I receive this error when retrieving the endpoint URI: E0921 16:45:57.070366 732 memcache.go:265] couldn't get current server API group list: the server has asked for the client to provide credentials

Alex S. · Recensione inserita oltre 2 anni fa