cbazzaandClaude Sonnet 4.5
9049a66c1a
Major improvements: - Deep Learning integration with PyTorch LSTM (dual models: main 1-50 + euro 1-12) - Hybrid predictor: 40% RandomForest + 60% Deep Learning - LaunchAgent for automatic weekly tip generation (Mon/Thu 21:00) - Health-Check system with auto-recovery and Telegram alerts - Fixed health checks for Eurojackpot-specific paths and file names - Model caching and intelligent retraining logic - Updated CSV data and generated tips - Performance reports for recent draws Technical details: - PyTorch used instead of TensorFlow (Python 3.14 compatibility) - Separate LSTM models for main numbers (1-50) and euro numbers (1-12) - Apple Silicon MPS acceleration support - Sequence learning with 20-draw history - Health-check adapted for eurojackpot_ml_models/ and learning_log.json 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
30 lines
527 B
JSON
30 lines
527 B
JSON
{
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"updates": [
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{
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"timestamp": "2026-01-05T11:39:04.799509",
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"draw_date": "2026-01-02",
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"evaluation": {
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"main": 1,
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"euro": 1,
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"tip": 2
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},
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"avg_matches": {
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"main": 0.5,
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"euro": 0.3
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}
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},
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{
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"timestamp": "2026-01-06T21:00:43.271197",
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"draw_date": "2026-01-06",
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"evaluation": {
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"main": 0,
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"euro": 1,
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"tip": 3
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},
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"avg_matches": {
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"main": 0.0,
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"euro": 0.2
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}
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}
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]
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} |