compare_gazepoint_models: Compare governed model candidates without selecting a winner
In gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

View source: R/model-tuning.R

compare_gazepoint_models

R Documentation

Compare governed model candidates without selecting a winner

Description

Compare governed model candidates without selecting a winner

Usage

compare_gazepoint_models(x, metrics = NULL)

Arguments

`x`	A `gp3ml_model_tuning` object.
`metrics`	Optional metric names.

Value

A data frame retaining candidate status, failures, complexity, interpretability, and fold-distribution summaries.

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

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Package overview README.md API Stability and Public Object Contracts Contaminated feature manifests and leakage cases Cross-Package Interoperability Contracts Dataset Shift and Robustness Auditing Experimentally assigned condition discrimination Explicitly observed behavioural endpoint External validation and transportability reporting Frozen Analysis-Plan Governance Governance Evidence and Standards Crosswalks Governed Decision Thresholds and Abstention Integrated Synthetic Gazepoint Research Workflow Nested grouped resampling Optional Engines and Cross-Platform Portability Participant generalization Portable Models and Research Artifacts Predefined recording-quality review status Reproducibility Hardening Simultaneous participant and stimulus generalization Stimulus generalization Target-Aware Conformal Prediction

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