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Error while creating model valuations using ModelEvaluationClassificationOp

Posted on 04-04-2024 11:12 PM
trk
Bronze 1
Bronze 1
Reply posted on --/--/---- --:-- AM

Hello GCP Community,

I am encountering an issue while attempting to access data in the `ModelEvaluationClassificationOp` which is a pre-built gcp component. The error message I am receiving is:

"LookUpInode: input/output error, Error in iterating through objects: storage: bucket doesn't exist."

 
trk_3-1712297540154.png

 

Here are the details of the relevant code snippet:

trk_1-1712297188189.png

`ModelEvaluationClassificationOp` expects two GCS input paths (`ground_truth_gcs_source` and `predictions_gcs_source`), but I am encountering difficulties accessing the specified buckets.
ground_truth_gcs_source: list[str] = ["gs://trk-ai-models/sklearn-income-pred-model/income_classification_ml_metadata/input_predcition_data/gcs_groundtruth.jsonl"]
predictions_gcs_source: dsl.Input[system.Artifact] = "gs://trk-ai-models/sklearn-income-pred-model/income_classification_ml_metadata/output_predictions_data/prediction-test_income_model-2024_03_19T06_00_04_089Z"

I have verified that the specified buckets and respective files in Cloud Storage exist and are accessible.

 reference snippet : https://github.com/kubeflow/pipelines/blob/master/components/google-cloud/google_cloud_pipeline_comp...

please provide guidance on how to resolve this issue or suggest troubleshooting steps?

Thank you in advance for your assistance.

 

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