Comments (1)
The training function is documented, along with test_size
here.
This error is not a training error, it's deployment error. When the first training run has insufficient test data to compute metrics, it's still deployed since there is no currently deployed model, but further runs can't be deployed because the deploy model has no statistics. This means your 3rd/4th/5th training run will continue to experience the same issue that issue is fixed by #1289 as mentioned in #1296. To clear this error in your local deployment, you'll need to deploy a model with valid statistics computed on a valid training/test data set. Deployments are documented here.
Additionally, please consider using a statistically valid dataset provided by pgml.load_dataset()
, similar to the examples when reporting issues, since often times the issue with machine learning is in the data. e.g. https://github.com/postgresml/postgresml/blob/master/pgml-extension/examples/binary_classification.sql
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