Select a governed candidate using an explicit metric and direction
Source:R/model-tuning.R
select_gazepoint_model.RdThis 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_tuningobject.- 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.