Google Cloud AutoML tabular regression pipeline continuously fails with errors

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1

I’m working with Google Cloud’s Vertex AI AutoML feature to create a regression model using tabular data. My dataset uploaded successfully to the platform, but I keep running into issues when trying to execute the pipeline.

What I’ve tried so far:

  • Used the standard AutoML template for tabular regression
  • Kept all default configuration settings initially
  • Changed machine types from n1-standard-8 and n1-highmem-8 to n1-standard-4 after the first failure
  • Verified that compute service permissions are properly configured

The problem:

Every pipeline execution fails, regardless of the machine type configuration I use. The error logs don’t provide clear guidance on what’s causing the failure.

My setup:

  • Using Vertex AI’s built-in AutoML pipeline template
  • Tabular dataset for regression analysis
  • Default pipeline parameters (tried both standard and modified machine types)
  • All necessary API permissions appear to be enabled

Has anyone encountered similar issues with Vertex AI AutoML pipelines? I’m not sure what else to troubleshoot at this point.

2

try checking your schema again, it can be real picky about types and if any values are missin. also, peep the pipeline logs in Cloud Logging, not just the vertex console. it helped me fix a similar issue not too long ago.