cbazzaandClaude Sonnet 4.5
428403557e
Major improvements: - Deep Learning integration with PyTorch LSTM (Bidirectional, 128→64 units) - Hybrid predictor: 40% RandomForest + 60% Deep Learning - LaunchAgent for automatic weekly tip generation (Tue/Fri 21:00) - Health-Check system with auto-recovery and Telegram alerts - 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) - Apple Silicon MPS acceleration support - Sequence learning with 20-draw history - Early stopping and learning rate scheduling 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
34 lines
770 B
JSON
34 lines
770 B
JSON
{
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"checks": [
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{
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"timestamp": "2026-01-06T10:11:32.908565",
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"status": "OK",
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"issues": [],
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"warnings": [
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"Learning State: No learning state found",
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"Disk Space: 121.4 GB free (13.1%)"
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],
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"recovered": []
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{
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"timestamp": "2026-01-07T09:13:37.832795",
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"status": "OK",
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"issues": [],
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"warnings": [
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"Learning State: No learning state found",
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"Disk Space: 115.3 GB free (12.4%)"
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],
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"recovered": []
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},
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{
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"timestamp": "2026-01-07T09:17:51.274727",
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"status": "OK",
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"issues": [],
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"warnings": [
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"Learning State: No learning state found",
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"Disk Space: 115.3 GB free (12.4%)"
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],
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"recovered": []
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}
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]
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} |