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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)
54 lines
1.5 KiB
Bash
Executable File
54 lines
1.5 KiB
Bash
Executable File
#!/bin/bash
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# run_example.sh - Run the TimesFM temperature anomaly forecasting example
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#
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# This script:
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# 1. Runs the preflight system check
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# 2. Runs the TimesFM forecast
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# 3. Generates the visualization
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#
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# Usage:
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# ./run_example.sh
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#
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# Prerequisites:
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# - Python 3.10+
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# - timesfm[torch] installed: uv pip install "timesfm[torch]"
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# - matplotlib, pandas, numpy
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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SKILL_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
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echo "============================================================"
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echo " TimesFM Example: Global Temperature Anomaly Forecast"
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echo "============================================================"
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# Step 1: Preflight check
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echo ""
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echo "🔍 Step 1: Running preflight system check..."
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python3 "$SKILL_ROOT/scripts/check_system.py" || {
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echo "❌ Preflight check failed. Please fix the issues above before continuing."
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exit 1
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}
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# Step 2: Run forecast
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echo ""
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echo "📊 Step 2: Running TimesFM forecast..."
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cd "$SCRIPT_DIR"
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python3 run_forecast.py
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# Step 3: Generate visualization
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echo ""
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echo "📈 Step 3: Generating visualization..."
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python3 visualize_forecast.py
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echo ""
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echo "============================================================"
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echo " ✅ Example complete!"
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echo "============================================================"
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echo ""
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echo "Output files:"
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echo " - $SCRIPT_DIR/forecast_output.csv"
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echo " - $SCRIPT_DIR/forecast_output.json"
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echo " - $SCRIPT_DIR/forecast_visualization.png"
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