admin f1ef2648b1 Merge pull request 'Sprint 6-7 — ML Upgrade: Ensemble XGBoost+LightGBM+MLP + Optuna' (#1) from feature/ml-upgrade-ensemble into master

2026-04-25 19:15:15 +02:00

models

feat(ml): train ensemble model and generate benchmark report

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POD

Initial commit: existing turf_saas codebase

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templates

Initial commit: existing turf_saas codebase

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tests

Merge pull request 'Sprint 6-7 — ML Upgrade: Ensemble XGBoost+LightGBM+MLP + Optuna' (#1) from feature/ml-upgrade-ensemble into master

2026-04-25 19:15:15 +02:00

.coverage

feat(ml): train ensemble model and generate benchmark report

2026-04-25 19:10:41 +02:00

.gitignore

Initial commit: existing turf_saas codebase

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add_equidia.py

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add_grok_today.py

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add_grok.py

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add_jockeys.py

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add_odds.py

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add_preds.py

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add_scheduler_job.py

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agent_chat_api.py

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agent_chat.html

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agent_ia_config.html

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agent_ia.html

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agent_turf.py

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analyse_rex.py

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analytics_reports.py

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API_AUTH.md

feat: Sprint 2-3 — Auth JWT + Multi-tenant (HRT-28)

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api_datagouv_reference.html

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app.py

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ARCHITECTURE_SERVICES.html

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ARCHITECTURE_SERVICES.md

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archive_v5_files.py

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auth_db.py

feat: Sprint 2-3 — Auth JWT + Multi-tenant (HRT-28)

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auth.py

feat: Sprint 2-3 — Auth JWT + Multi-tenant (HRT-28)

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backtest_analyzer.py

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backtest_result.md

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backtest.py

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boite_a_idees_dashboard.html

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boite_a_idees.html

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boite_idees.html

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BUSINESS_PLAN.md

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calculate_metrics.py

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CARTOGRAPHIE_H3R7TECH.md

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clean_preds.py

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combined_api.py

feat(ml): add ensemble XGBoost+LightGBM+MLP with Optuna optimization

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compare_all.py

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compare_models.py

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compare_predictions.py

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crm_api.py

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crm_candidatures.html

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crm_dashboard_new.html

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crm_dashboard.html

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crm_simple.html

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dashboard_api.py

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dashboard.html

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datagouv_explorer.html

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db.py

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DOCUMENTATION.md

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EVOLUTION_PREDICTIF.md

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EVOLUTION.md

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favicon.ico

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fetch_results.py

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gemini_agent.html

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guide_gitea.html

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h3r7tech_business.html

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H3R7Tech_logo.png

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H3R7Tech_logo.svg

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historical_loader.py

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horse_detail_enhanced.py

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horse_detail_scraper.py

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horse_detail_v2.py

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ideas_api.py

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idees_final.html

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idees_local.html

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idees_simple.html

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idees_statiques.html

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improve_historical_data.py

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llm_cache.py

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map_visual.html

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metrics_alerts.py

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middleware.py

feat: Sprint 2-3 — Auth JWT + Multi-tenant (HRT-28)

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mobile_ideas.html

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model_optimizer.py

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multi_scraper_v5.py

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multi_scraper.py

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n8n-chat.html

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n8n-workflow-import-instructions.md

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organigramme_h3r7tech.html

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parse_predictions.py

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performance_tracker.py

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PLANNING_QUOTIDIEN.md

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pmu_results.py

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populate_analytics.py

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portail.html

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portal_server.py

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predict_v2.py

feat(ml): add ensemble XGBoost+LightGBM+MLP with Optuna optimization

2026-04-25 18:18:48 +02:00

PREDICTION_MODEL_ANALYSIS.md

Initial commit: existing turf_saas codebase

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PROJET_TURF_COMPLET.md

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PROJET_TURF.md

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prompts_llm.py

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pytest.ini

feat(ml): train ensemble model and generate benchmark report

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rebuild_ensemble.py

feat(ml): train ensemble model and generate benchmark report

2026-04-25 19:10:41 +02:00

results_scraper.py

Initial commit: existing turf_saas codebase

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run_api.sh

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run_api.sh.disabled

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run_pmu_range.sh

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run_results.sh

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run_scoring.sh

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run_scraper.sh

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saas_api.py

feat: Sprint 2-3 — Auth JWT + Multi-tenant (HRT-28)

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scoring_v2_json.py

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scoring_v2.py

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scoring.py

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scraper_artisans.py

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scraper_manual.html

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scraper_pro.html

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SCRIPTS_DEMARCHAGE.html

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SCRIPTS_DEMARCHAGE.md

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simple_ideas.html

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simple_idees.html

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SPECS_TECHNIQUES_FONCTIONNELLES.docx

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start_vitesse.sh

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SUB_AGENTS.md

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template_artisan_final.html

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template_boulangerie_final.html

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template_complet.html

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template_restaurant_final.html

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template_restaurant_json.html

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test_ideas.html

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test_recs.py

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train_ensemble.py

feat(ml): train ensemble model and generate benchmark report

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train_xgboost.py

Initial commit: existing turf_saas codebase

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turf_db.py

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turf_scheduler.py

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turffish_bridge.py

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TUTORIEL_APIFY.md

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update_odds.py

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update_paris_results.py

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update_recommendation_results.py

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update_results_cron.py

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vitesse_api.py

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vitesse_script.js

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vitesse_styles.css

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weather_module_v2.py

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weather_module.py

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WORKFLOW_SCRAPING.md

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Description

Turf SaaS platform with ML ensemble predictions

2.9 MiB

Languages

Python 63.7%

HTML 35.1%

Shell 0.8%

JavaScript 0.2%

Dockerfile 0.1%