Verify How Early Stopping in GLM Compares to Other Models

Description

GLM uses early_stopping while the other supervised learning algorithms provide multiple parameters to configure early stopping: stopping_rounds, stopping_metric, stopping_tolerance. How does GLM's handling of early stopping differ from the other algos. For example, what number of scoring rounds does GLM consider when it’s deciding to stop after no improvement?

Assignee

Wendy

Fix versions

None

Reporter

Lauren DiPerna

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No

Priority

Major
Configure