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https://github.com/K-Dense-AI/claude-scientific-skills.git
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- Add NOAA GISTEMP global temperature anomaly dataset (36 months, 2022-2024) - Run TimesFM 1.0 PyTorch forecast for 2025 (12-month horizon) - Generate fan chart visualization with 80%/90% confidence intervals - Create comprehensive markdown report with findings and API notes API Discovery: - TimesFM 2.5 PyTorch checkpoint has file format issue (model.safetensors vs expected torch_model.ckpt) - Working API uses TimesFmHparams + TimesFmCheckpoint + TimesFm() constructor - Documented API in GitHub README differs from actual pip package Includes: - temperature_anomaly.csv (input data) - forecast_output.csv (point forecast + quantiles) - forecast_output.json (machine-readable output) - forecast_visualization.png (LFS-tracked) - run_forecast.py (reusable script) - visualize_forecast.py (chart generation) - run_example.sh (one-click runner) - README.md (full report with findings)
38 lines
591 B
CSV
38 lines
591 B
CSV
date,anomaly_c
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2022-01-01,0.89
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2022-02-01,0.89
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2022-03-01,1.02
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2022-04-01,0.88
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2022-05-01,0.85
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2022-06-01,0.88
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2022-07-01,0.88
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2022-08-01,0.90
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2022-09-01,0.88
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2022-10-01,0.95
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2022-11-01,0.77
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2022-12-01,0.78
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2023-01-01,0.87
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2023-02-01,0.98
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2023-03-01,1.21
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2023-04-01,1.00
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2023-05-01,0.94
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2023-06-01,1.08
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2023-07-01,1.18
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2023-08-01,1.24
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2023-09-01,1.47
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2023-10-01,1.32
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2023-11-01,1.18
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2023-12-01,1.16
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2024-01-01,1.22
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2024-02-01,1.35
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2024-03-01,1.34
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2024-04-01,1.26
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2024-05-01,1.15
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2024-06-01,1.20
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2024-07-01,1.24
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2024-08-01,1.30
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2024-09-01,1.28
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2024-10-01,1.27
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2024-11-01,1.22
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2024-12-01,1.20
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