feat(ai): expand training to 68K+ matches, add score model, backfill implied odds
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- extract_training_data.py: switch from top_leagues.json (23) to qualified_leagues.json (265) - update_implied_odds.py: new script to backfill implied odds from real market data - train_score_model.py: rewrite with v25 102-feature set + temporal split - single_match_orchestrator.py: integrate ML score model with heuristic fallback
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@@ -33,7 +33,7 @@ from features.upset_engine import get_upset_engine
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from features.referee_engine import get_referee_engine
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from features.momentum_engine import get_momentum_engine
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TOP_LEAGUES_PATH = os.path.join(AI_ENGINE_DIR, "..", "top_leagues.json")
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TOP_LEAGUES_PATH = os.path.join(AI_ENGINE_DIR, "..", "qualified_leagues.json")
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OUTPUT_CSV = os.path.join(AI_ENGINE_DIR, "data", "training_data.csv")
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# Ensure output dir exists
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