Governance-First Predictive Modelling for 'Gazepoint' Research

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Documentation for package ‘gp3ml’ version 0.1.0

• DESCRIPTION file
• Package NEWS
• Package README

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apply_gazepoint_calibrator	Apply a fitted probability calibrator
assert_gp3ml_use_case	Assert that a task is within the permitted gp3ml scope
assess_gazepoint_calibration	Calibration assessment with bootstrap uncertainty
audit_gazepoint_group_folds	Aggregate leakage audits across group-aware folds
audit_gazepoint_ml_leakage	Audit leakage between predictive-analysis partitions
bake_gazepoint_preprocessor	Apply a fitted preprocessing engine
bootstrap_gazepoint_metrics	Bootstrap uncertainty intervals for performance metrics
create_external_validation_report	Create an external-validation report object
create_gazepoint_feature_manifest	Create a Gazepoint feature-provenance manifest
create_gazepoint_group_folds	Create deterministic group-aware Gazepoint resampling folds
create_gazepoint_model_card	Create a governance-focused model card
create_gazepoint_reproducibility_report	Create a reproducibility report
declare_gazepoint_task	Declare a governed Gazepoint prediction task
diagnose_gazepoint_group_folds	Diagnose group-aware Gazepoint resampling folds
evaluate_external_validation	Evaluate an independent external-validation dataset
fit_gazepoint_calibrator	Fit a probability calibrator
fit_gazepoint_deep_model	Fit an optional governed deep-learning model through keras3
fit_gazepoint_model	Fit a governed Gazepoint model
fit_gazepoint_preprocessor	Fit a fold-local preprocessing engine
gazepoint_classification_metrics	Binary classification metrics
gazepoint_performance_metrics	Task-aware performance metrics
gazepoint_regression_metrics	Regression metrics
gp3ml_available_engines	List available model engines
gp3ml_prohibited_uses	Prohibited gp3ml uses
integrate_black_box_model	Integrate a controlled black-box model engine
predict.gp3ml_model	Predict from a gp3ml model
print.gazepoint_feature_manifest_validation	Print feature-manifest validation
print.gazepoint_fold_diagnostics	Print Gazepoint fold diagnostics
print.gazepoint_fold_diagnostics_validation	Print Gazepoint fold-diagnostics validation
print.gazepoint_group_folds	Print group-aware Gazepoint resampling folds
print.gazepoint_group_folds_audit	Print aggregated group-fold leakage auditing
print.gazepoint_group_folds_validation	Print group-aware fold validation
print.gazepoint_ml_leakage_audit	Print a Gazepoint ML leakage audit
print.gazepoint_ml_split	Print a group-aware Gazepoint split
print.gazepoint_ml_split_validation	Print group-aware split validation
split_gazepoint_ml_data	Create a deterministic group-aware Gazepoint holdout split
train_gazepoint_classifier	Generic governed binary-classifier training wrapper
validate_gazepoint_feature_manifest	Validate a Gazepoint feature-provenance manifest
validate_gazepoint_fold_diagnostics	Validate Gazepoint fold diagnostics
validate_gazepoint_group_folds	Validate group-aware Gazepoint resampling folds
validate_gazepoint_ml_roles	Validate outcome, predictor, identifier, and grouping roles
validate_gazepoint_ml_split	Validate a group-aware Gazepoint holdout split
write_external_validation_report	Write an external-validation report
write_gazepoint_feature_manifest_csv	Write a Gazepoint feature manifest or validation table to CSV
write_gazepoint_fold_diagnostics_csv	Write Gazepoint fold diagnostics to CSV files
write_gazepoint_group_folds_csv	Write group-aware resampling tables to CSV
write_gazepoint_ml_leakage_audit_csv	Write a Gazepoint ML leakage-audit table to CSV
write_gazepoint_ml_split_csv	Write group-aware split tables to CSV
write_gazepoint_model_card	Write a model card
write_gazepoint_reproducibility_report	Write a reproducibility report