select_gazepoint_model: Select a governed candidate using an explicit metric and...

In gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

Select a governed candidate using an explicit metric and direction

Description

This function records a reviewable decision. It does not refit a model and refuses accuracy as the sole primary metric.

Usage

select_gazepoint_model(
  x,
  metric,
  direction,
  minimum_success_prop = 0.8,
  tie_breakers = NULL,
  rationale
)

## S3 method for class 'gp3ml_model_selection'
print(x, ...)

Arguments

x	A gp3ml_model_tuning object.
metric	Explicit primary metric.
direction	Explicit optimization direction.
minimum_success_prop	Minimum successful-fold proportion.
tie_breakers	Optional ordered secondary metric names.
rationale	Required human-readable selection rationale.
...	Additional arguments passed to the print method.

Value

A gp3ml_model_selection object.

gp3ml documentation built on Aug. 23, 2026, 5:11 p.m.