Man pages for gp3ml
Governance-First Predictive Modelling for 'Gazepoint' Research
| apply_gazepoint_calibrator | Apply a fitted probability calibrator |
| apply_gazepoint_decision_rule | Apply a governed classification decision rule |
| as_gp3ml_data | Extract model-ready data from a gp3ml handoff object |
| assert_gp3ml_engine_available | Assert that a gp3ml engine is available |
| assert_gp3ml_use_case | Assert that a task is within the permitted gp3ml scope |
| assess_gazepoint_calibration | Calibration assessment with bootstrap uncertainty |
| assess_gazepoint_conformal_coverage | Assess conformal coverage |
| audit_gazepoint_abstention | Audit abstention decisions |
| audit_gazepoint_dataset_shift | Audit predictor distribution shift |
| audit_gazepoint_group_folds | Aggregate leakage audits across group-aware folds |
| audit_gazepoint_missingness_shift | Audit missingness shift |
| audit_gazepoint_ml_leakage | Audit leakage between predictive-analysis partitions |
| audit_gazepoint_model_robustness | Audit multiple robustness dimensions |
| audit_gazepoint_nested_resampling | Audit nested grouped resampling for outer-assessment leakage |
| audit_gazepoint_plan_deviations | Audit deviations from a locked analysis plan |
| audit_gazepoint_reproducibility | Audit generated artifacts for volatile output |
| audit_gp3ml_api_stability | Audit gp3ml API stability |
| audit_gp3ml_governance_profile | Audit a governance-evidence profile |
| bake_gazepoint_preprocessor | Apply a fitted preprocessing engine |
| bootstrap_gazepoint_metrics | Bootstrap uncertainty intervals for performance metrics |
| bootstrap_gazepoint_metrics_by_unit | Generalization-target-aligned bootstrap uncertainty |
| capture_gazepoint_environment | Capture a reproducibility environment record |
| collect_gazepoint_fold_predictions | Collect predictions from a grouped-fold evaluation |
| combine_gazepoint_handoffs | Combine validated cross-package handoffs |
| compare_gazepoint_environments | Compare two environment records |
| compare_gazepoint_models | Compare governed model candidates without selecting a winner |
| create_external_validation_report | Create an external-validation report object |
| create_gazepoint_decision_rule | Create a governed classification decision rule |
| create_gazepoint_feature_manifest | Create a Gazepoint feature-provenance manifest |
| create_gazepoint_group_folds | Create deterministic group-aware Gazepoint resampling folds |
| create_gazepoint_handoff | Create a lightweight cross-package Gazepoint handoff |
| create_gazepoint_model_artifact | Create a portable governed model artifact |
| create_gazepoint_model_card | Create a governance-focused model card |
| create_gazepoint_nested_folds | Create nested grouped resampling from mature outer folds |
| create_gazepoint_release_evidence | Create a release evidence manifest |
| create_gazepoint_release_model_card | Create a release-ready governed model card |
| create_gazepoint_reproducibility_report | Create a reproducibility report |
| create_gazepoint_synthetic_manifest | Create a synthetic governed feature manifest |
| create_gazepoint_synthetic_task | Create one of the governed synthetic demonstration tasks |
| create_gazepoint_tuning_grid | Create an explicit governed tuning grid |
| create_gp3ml_governance_profile | Create a governance-evidence profile |
| declare_gazepoint_analysis_plan | Declare a frozen-analysis-plan contract |
| declare_gazepoint_external_dataset | Declare an external dataset and its independence status |
| 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 |
| evaluate_gazepoint_external_transportability | Evaluate external transportability and validation status |
| evaluate_gazepoint_feature_stability | Evaluate leave-one-feature-out stability |
| evaluate_gazepoint_group_folds | Evaluate a governed model specification across materialized... |
| evaluate_gazepoint_missingness_sensitivity | Evaluate named missingness-sensitivity scenarios |
| evaluate_gazepoint_nested_resampling | Evaluate nested grouped resampling with inner governed tuning |
| evaluate_gazepoint_seed_stability | Evaluate seed stability |
| evaluate_gazepoint_thresholds | Evaluate explicit classification thresholds |
| evaluate_gazepoint_threshold_stability | Evaluate threshold stability around the optimum |
| fit_gazepoint_calibrator | Fit a probability calibrator |
| fit_gazepoint_conformal | Fit target-aware split-conformal calibration |
| 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_api_contracts | gp3ml public API contracts |
| gp3ml_available_engines | List available model engines |
| gp3ml_engine_capabilities | Audit gp3ml model-engine capabilities |
| gp3ml_interop_contracts | Cross-package interoperability contracts |
| gp3ml_object_schema | Describe the schema of a gp3ml object |
| gp3ml-package | gp3ml: Governance-First Predictive Modelling for 'Gazepoint'... |
| gp3ml_prohibited_uses | Prohibited gp3ml uses |
| integrate_black_box_model | Integrate a controlled black-box model engine |
| lock_gazepoint_analysis_plan | Lock an analysis plan using SHA-256 |
| normalize_gazepoint_artifact_text | Normalize volatile text in generated research artifacts |
| plot.gp3ml_abstention_audit | Plot abstention audit |
| plot.gp3ml_api_stability_audit | Plot a gp3ml API stability audit |
| plot.gp3ml_conformal_coverage | Plot conformal coverage |
| plot.gp3ml_dataset_shift_audit | Plot a dataset shift audit |
| plot.gp3ml_engine_capabilities | Plot gp3ml engine availability |
| plot.gp3ml_environment_comparison | Plot an environment comparison |
| plot.gp3ml_governance_profile_audit | Plot a governance profile audit |
| plot.gp3ml_handoff_validation | Plot handoff validation checks |
| plot.gp3ml_model_artifact_validation | Plot model-artifact validation |
| plot.gp3ml_model_robustness_audit | Plot a robustness audit |
| plot.gp3ml_plan_deviation_audit | Plot analysis-plan deviations |
| plot.gp3ml_release_checksum_validation | Plot release checksum validation |
| plot.gp3ml_reproducibility_audit | Plot a reproducibility-hardening audit |
| plot.gp3ml_research_bundle_validation | Plot research-bundle validation |
| plot.gp3ml_ro_crate_validation | Plot RO-Crate validation |
| plot.gp3ml_threshold_evaluation | Plot threshold evaluation |
| predict_gazepoint_interval | Predict conformal regression intervals |
| predict_gazepoint_set | Predict binary conformal prediction sets |
| 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 |
| restore_gazepoint_model_artifact | Restore a model artifact |
| select_gazepoint_model | Select a governed candidate using an explicit metric and... |
| select_gazepoint_threshold | Select a threshold from a governed threshold evaluation |
| simulate_gazepoint_governed_data | Simulate governed synthetic Gazepoint-derived data |
| simulate_gazepoint_research_handoffs | Simulate realistic cross-package Gazepoint research handoffs |
| split_gazepoint_ml_data | Create a deterministic group-aware Gazepoint holdout split |
| summarize_gazepoint_resample_performance | Summarize repeated grouped-resampling performance |
| summarize_gazepoint_resample_uncertainty | Summarize uncertainty across folds or repeats |
| summarize_gazepoint_shift | Summarize dataset shift without collapsing it to one drift... |
| test_gazepoint_model_portability | Test model-artifact serialization and optional fresh-process... |
| train_gazepoint_classifier | Generic governed binary-classifier training wrapper |
| tune_gazepoint_model | Evaluate every governed candidate on the same grouped folds |
| validate_gazepoint_analysis_plan | Validate an analysis plan |
| validate_gazepoint_conformal | Validate a conformal fit |
| validate_gazepoint_decision_rule | Validate a governed decision rule |
| validate_gazepoint_environment | Validate the current environment against a reference record |
| 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_handoff | Validate a Gazepoint handoff |
| validate_gazepoint_ml_roles | Validate outcome, predictor, identifier, and grouping roles |
| validate_gazepoint_ml_split | Validate a group-aware Gazepoint holdout split |
| validate_gazepoint_model_artifact | Validate a model artifact |
| validate_gazepoint_model_tuning | Validate governed tuning results |
| validate_gazepoint_nested_evaluation | Validate a nested evaluation |
| validate_gazepoint_nested_folds | Validate nested grouped folds |
| validate_gazepoint_release_checksums | Validate SHA-256 release checksums |
| validate_gazepoint_resample_evaluation | Validate a grouped-fold evaluation result |
| validate_gazepoint_research_bundle | Validate a synthetic cross-package research bundle |
| validate_gazepoint_ro_crate | Validate a gp3ml RO-Crate-oriented export |
| validate_gazepoint_target_uncertainty | Validate target-aligned uncertainty metadata |
| validate_gazepoint_transportability | Validate an external transportability report |
| validate_gp3ml_object_contract | Validate an object against the gp3ml public-object contract |
| with_gazepoint_reproducible_output | Evaluate code with deterministic documentation-output... |
| write_external_validation_report | Write an external-validation report |
| write_gazepoint_analysis_plan | Write an analysis plan |
| 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_model_tuning | Write governed tuning and selection tables |
| write_gazepoint_nested_evaluation | Write nested-resampling evaluation tables |
| write_gazepoint_release_checksums | Write SHA-256 checksums for release artifacts |
| write_gazepoint_release_model_card | Write a release-ready governed model card |
| write_gazepoint_reproducibility_audit | Write a reproducibility-hardening audit |
| write_gazepoint_reproducibility_report | Write a reproducibility report |
| write_gazepoint_resample_evaluation | Write grouped-fold evaluation tables |
| write_gazepoint_ro_crate | Write a minimal RO-Crate-oriented research object |
| write_gazepoint_target_uncertainty | Write target-aligned uncertainty tables |
| write_gazepoint_transportability_report | Write an expanded transportability report |
| write_gp3ml_api_contracts | Write gp3ml API contracts |
| write_gp3ml_governance_profile | Write a governance profile audit |
