关于“TFX on Cloud AI Platform Pipelines”的评价

Lab not updated, dependencies from install.sh does not work

Miguel L. · 已于 about 2 years前审核

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:" UPD Sept 26, 2023 Lab content has been corrected so now it requests cluster creation in us-east4 region. Also I managed to get a successful job run! Unfortunately, these result are not counted by checkpoints 'Deploy the pipeline package to AI Platform Pipelines" and "Create kubeflow pipeline run using TFX CLI" despite all requirements being satisfied! It's high time to update checkpoints and ensure they works properly!!!1111

Pavel K. · 已于 about 2 years前审核

Fahad A. · 已于 about 2 years前审核

Swati M. · 已于 about 2 years前审核

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

Marcia P. · 已于 about 2 years前审核

Venu P. · 已于 about 2 years前审核

Abraham R. · 已于 about 2 years前审核

Yash J. · 已于 about 2 years前审核

Yash J. · 已于 about 2 years前审核

Outdated tools, please upgrade.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

Bhavesh Naresh W. · 已于 about 2 years前审核

Harshit P. · 已于 about 2 years前审核

Good Lab

Robert M. · 已于 about 2 years前审核

Mohammad Irshad K. · 已于 about 2 years前审核

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. · 已于 about 2 years前审核

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. · 已于 about 2 years前审核

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

Robert M. · 已于 about 2 years前审核

Robert M. · 已于 about 2 years前审核

Could not complete the lab...

Robert M. · 已于 about 2 years前审核

unable to resolve errors

Chris T. · 已于 about 2 years前审核