mirror of
https://github.com/K-Dense-AI/claude-scientific-skills.git
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1506a60993
Create an all-out demonstration showing how TimesFM forecasts evolve as more historical data is added: - generate_animation_data.py: Runs 25 incremental forecasts (12→36 points) - interactive_forecast.html: Single-file HTML with Chart.js slider - Play/Pause animation control - Shows historical data, forecast, 80%/90% CIs, and actual future data - Live stats: forecast mean, max, min, CI width - generate_gif.py: Creates animated GIF for embedding in markdown - forecast_animation.gif: 25-frame animation (896 KB) Interactive features: - Slider to manually step through forecast evolution - Auto-play with 500ms per frame - Shows how each additional data point changes the forecast - Confidence intervals narrow as more data is added
570 lines
20 KiB
HTML
570 lines
20 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>TimesFM Interactive Forecast Animation</title>
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<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-annotation"></script>
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<style>
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, sans-serif;
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background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
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min-height: 100vh;
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color: #e0e0e0;
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padding: 20px;
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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}
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header {
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text-align: center;
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margin-bottom: 30px;
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}
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h1 {
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font-size: 2rem;
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margin-bottom: 10px;
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background: linear-gradient(90deg, #60a5fa, #a78bfa);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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background-clip: text;
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}
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.subtitle {
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color: #9ca3af;
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font-size: 1.1rem;
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}
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.chart-container {
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background: rgba(255, 255, 255, 0.05);
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border-radius: 16px;
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padding: 20px;
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margin-bottom: 20px;
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box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3);
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}
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#chart {
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width: 100% !important;
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height: 400px !important;
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}
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.controls {
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display: flex;
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flex-direction: column;
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gap: 20px;
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background: rgba(255, 255, 255, 0.05);
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border-radius: 16px;
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padding: 20px;
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}
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.slider-container {
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display: flex;
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flex-direction: column;
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gap: 10px;
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}
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.slider-label {
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display: flex;
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justify-content: space-between;
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align-items: center;
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}
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.slider-label span {
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font-size: 0.9rem;
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color: #9ca3af;
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}
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.slider-label .value {
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font-weight: 600;
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color: #60a5fa;
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font-size: 1.1rem;
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}
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input[type="range"] {
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width: 100%;
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height: 8px;
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border-radius: 4px;
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background: #374151;
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outline: none;
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-webkit-appearance: none;
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}
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input[type="range"]::-webkit-slider-thumb {
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-webkit-appearance: none;
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width: 24px;
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height: 24px;
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border-radius: 50%;
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background: linear-gradient(135deg, #60a5fa, #a78bfa);
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cursor: pointer;
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box-shadow: 0 2px 10px rgba(96, 165, 250, 0.5);
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}
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input[type="range"]::-moz-range-thumb {
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width: 24px;
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height: 24px;
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border-radius: 50%;
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background: linear-gradient(135deg, #60a5fa, #a78bfa);
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cursor: pointer;
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border: none;
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box-shadow: 0 2px 10px rgba(96, 165, 250, 0.5);
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}
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.buttons {
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display: flex;
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gap: 10px;
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flex-wrap: wrap;
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}
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button {
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flex: 1;
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min-width: 100px;
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padding: 12px 20px;
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border: none;
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border-radius: 8px;
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font-size: 1rem;
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font-weight: 600;
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cursor: pointer;
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transition: all 0.2s ease;
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}
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.btn-primary {
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background: linear-gradient(135deg, #60a5fa, #a78bfa);
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color: white;
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}
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.btn-primary:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 15px rgba(96, 165, 250, 0.4);
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}
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.btn-secondary {
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background: #374151;
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color: #e0e0e0;
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}
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.btn-secondary:hover {
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background: #4b5563;
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}
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.stats {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
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gap: 15px;
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margin-top: 20px;
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}
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.stat-card {
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background: rgba(255, 255, 255, 0.05);
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border-radius: 12px;
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padding: 15px;
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text-align: center;
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}
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.stat-card .label {
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font-size: 0.8rem;
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color: #9ca3af;
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margin-bottom: 5px;
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}
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.stat-card .value {
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font-size: 1.3rem;
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font-weight: 600;
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color: #60a5fa;
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}
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.legend {
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display: flex;
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justify-content: center;
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gap: 20px;
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flex-wrap: wrap;
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margin-top: 15px;
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padding-top: 15px;
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border-top: 1px solid rgba(255, 255, 255, 0.1);
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}
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.legend-item {
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display: flex;
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align-items: center;
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gap: 8px;
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font-size: 0.9rem;
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}
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.legend-color {
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width: 16px;
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height: 16px;
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border-radius: 4px;
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}
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footer {
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text-align: center;
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margin-top: 30px;
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color: #6b7280;
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font-size: 0.9rem;
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}
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footer a {
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color: #60a5fa;
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text-decoration: none;
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}
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@media (max-width: 768px) {
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h1 {
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font-size: 1.5rem;
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}
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.buttons {
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flex-direction: column;
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}
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button {
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width: 100%;
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}
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}
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</style>
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</head>
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<body>
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<div class="container">
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<header>
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<h1>TimesFM Zero-Shot Forecast Animation</h1>
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<p class="subtitle">Watch the forecast evolve as more data is added</p>
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</header>
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<div class="chart-container">
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<canvas id="chart"></canvas>
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</div>
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<div class="controls">
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<div class="slider-container">
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<div class="slider-label">
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<span>Historical Data Points</span>
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<span class="value" id="points-value">12 / 36</span>
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</div>
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<input type="range" id="slider" min="0" max="24" value="0" step="1">
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<div class="slider-label">
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<span id="date-start">2022-01</span>
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<span id="date-end">2022-12 → Forecast to 2023-12</span>
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</div>
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</div>
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<div class="buttons">
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<button class="btn-primary" id="play-btn">▶ Play</button>
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<button class="btn-secondary" id="reset-btn">↺ Reset</button>
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</div>
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<div class="stats">
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<div class="stat-card">
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<div class="label">Forecast Mean</div>
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<div class="value" id="stat-mean">0.86°C</div>
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</div>
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<div class="stat-card">
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<div class="label">Forecast Max</div>
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<div class="value" id="stat-max">--</div>
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</div>
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<div class="stat-card">
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<div class="label">Forecast Min</div>
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<div class="value" id="stat-min">--</div>
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</div>
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<div class="stat-card">
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<div class="label">80% CI Width</div>
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<div class="value" id="stat-ci">--</div>
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</div>
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</div>
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<div class="legend">
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<div class="legend-item">
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<div class="legend-color" style="background: #3b82f6;"></div>
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<span>Historical Data</span>
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</div>
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<div class="legend-item">
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<div class="legend-color" style="background: #ef4444;"></div>
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<span>Forecast</span>
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</div>
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<div class="legend-item">
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<div class="legend-color" style="background: rgba(239, 68, 68, 0.2);"></div>
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<span>80% Confidence Interval</span>
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</div>
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<div class="legend-item">
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<div class="legend-color" style="background: rgba(239, 68, 68, 0.1);"></div>
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<span>90% Confidence Interval</span>
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</div>
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</div>
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</div>
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<footer>
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<p>TimesFM 1.0 (200M) PyTorch • <a href="https://github.com/google-research/timesfm">Google Research</a></p>
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<p style="margin-top: 5px;">Generated by <a href="https://github.com/K-Dense-AI/claude-scientific-skills">claude-scientific-skills</a></p>
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</footer>
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</div>
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<script>
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// Load animation data
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let animationData = null;
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let chart = null;
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let isPlaying = false;
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let playInterval = null;
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let currentStep = 0;
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// Fetch the JSON data
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fetch('animation_data.json')
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.then(response => response.json())
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.then(data => {
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animationData = data;
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initChart();
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updateChart(0);
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})
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.catch(err => {
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console.error('Error loading animation data:', err);
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document.querySelector('.chart-container').innerHTML =
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'<p style="text-align: center; padding: 50px; color: #ef4444;">Error loading data. Make sure animation_data.json is in the same directory.</p>';
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});
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function initChart() {
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const ctx = document.getElementById('chart').getContext('2d');
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chart = new Chart(ctx, {
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type: 'line',
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data: {
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labels: [],
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datasets: [
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{
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label: 'Historical',
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data: [],
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borderColor: '#3b82f6',
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backgroundColor: 'rgba(59, 130, 246, 0.1)',
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borderWidth: 2,
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pointRadius: 3,
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pointBackgroundColor: '#3b82f6',
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fill: false,
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tension: 0.1,
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},
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{
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label: 'Forecast',
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data: [],
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borderColor: '#ef4444',
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backgroundColor: 'rgba(239, 68, 68, 0.1)',
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borderWidth: 2,
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pointRadius: 3,
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pointBackgroundColor: '#ef4444',
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fill: false,
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tension: 0.1,
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},
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{
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label: '90% CI Lower',
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data: [],
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borderColor: 'transparent',
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backgroundColor: 'rgba(239, 68, 68, 0.08)',
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fill: '+1',
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pointRadius: 0,
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tension: 0.1,
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},
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{
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label: '90% CI Upper',
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data: [],
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borderColor: 'transparent',
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backgroundColor: 'rgba(239, 68, 68, 0.08)',
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fill: false,
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pointRadius: 0,
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tension: 0.1,
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},
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{
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label: '80% CI Lower',
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data: [],
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borderColor: 'transparent',
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backgroundColor: 'rgba(239, 68, 68, 0.15)',
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fill: '+1',
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pointRadius: 0,
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tension: 0.1,
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},
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{
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label: '80% CI Upper',
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data: [],
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borderColor: 'transparent',
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backgroundColor: 'rgba(239, 68, 68, 0.15)',
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fill: false,
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pointRadius: 0,
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tension: 0.1,
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},
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{
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label: 'Actual (Future)',
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data: [],
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borderColor: '#10b981',
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backgroundColor: 'transparent',
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borderWidth: 1,
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borderDash: [5, 5],
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pointRadius: 2,
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pointBackgroundColor: '#10b981',
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fill: false,
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tension: 0.1,
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},
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]
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},
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options: {
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responsive: true,
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maintainAspectRatio: false,
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interaction: {
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intersect: false,
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mode: 'index',
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},
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plugins: {
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legend: {
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display: false,
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},
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tooltip: {
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backgroundColor: 'rgba(0, 0, 0, 0.8)',
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titleColor: '#fff',
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bodyColor: '#fff',
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padding: 12,
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displayColors: true,
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},
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},
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scales: {
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x: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)',
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},
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ticks: {
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color: '#9ca3af',
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maxRotation: 45,
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minRotation: 45,
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},
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},
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y: {
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grid: {
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color: 'rgba(255, 255, 255, 0.05)',
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},
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ticks: {
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color: '#9ca3af',
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callback: function(value) {
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return value.toFixed(2) + '°C';
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}
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},
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min: 0.5,
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max: 1.6,
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},
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},
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animation: {
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duration: 200,
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},
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},
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});
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}
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function updateChart(stepIndex) {
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if (!animationData || !chart) return;
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const step = animationData.animation_steps[stepIndex];
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const actual = animationData.actual_data;
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// Build all dates
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const allDates = [...step.historical_dates, ...step.forecast_dates];
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// Historical data (with nulls for forecast period)
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const historicalData = [...step.historical_values, ...Array(step.forecast_dates.length).fill(null)];
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// Forecast data (with nulls for historical period)
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const forecastData = [...Array(step.historical_dates.length).fill(null), ...step.point_forecast];
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// Confidence intervals
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const q90Lower = [...Array(step.historical_dates.length).fill(null), ...step.q10];
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const q90Upper = [...Array(step.historical_dates.length).fill(null), ...step.q90];
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const q80Lower = [...Array(step.historical_dates.length).fill(null), ...step.q20];
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const q80Upper = [...Array(step.historical_dates.length).fill(null), ...step.q80];
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// Actual future data (if available)
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const actualFuture = [];
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for (let i = 0; i < allDates.length; i++) {
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const dateIdx = actual.dates.indexOf(allDates[i]);
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if (dateIdx >= step.n_points) {
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actualFuture.push(actual.values[dateIdx]);
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} else {
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actualFuture.push(null);
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}
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}
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// Update chart data
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chart.data.labels = allDates;
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chart.data.datasets[0].data = historicalData;
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chart.data.datasets[1].data = forecastData;
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chart.data.datasets[2].data = q90Lower;
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chart.data.datasets[3].data = q90Upper;
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chart.data.datasets[4].data = q80Lower;
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chart.data.datasets[5].data = q80Upper;
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chart.data.datasets[6].data = actualFuture;
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chart.update('none');
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// Update UI
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document.getElementById('slider').value = stepIndex;
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document.getElementById('points-value').textContent = `${step.n_points} / 36`;
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document.getElementById('date-end').textContent = `${step.last_historical_date} → Forecast to ${step.forecast_dates[step.forecast_dates.length - 1]}`;
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// Update stats
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const mean = (step.point_forecast.reduce((a, b) => a + b, 0) / step.point_forecast.length).toFixed(3);
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const max = Math.max(...step.point_forecast).toFixed(3);
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const min = Math.min(...step.point_forecast).toFixed(3);
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const ciWidth = ((step.q80[0] - step.q20[0]).toFixed(3));
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document.getElementById('stat-mean').textContent = mean + '°C';
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document.getElementById('stat-max').textContent = max + '°C';
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document.getElementById('stat-min').textContent = min + '°C';
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document.getElementById('stat-ci').textContent = '±' + (ciWidth / 2).toFixed(2) + '°C';
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currentStep = stepIndex;
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}
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// Slider control
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document.getElementById('slider').addEventListener('input', (e) => {
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updateChart(parseInt(e.target.value));
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});
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// Play button
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document.getElementById('play-btn').addEventListener('click', () => {
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const btn = document.getElementById('play-btn');
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if (isPlaying) {
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clearInterval(playInterval);
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btn.textContent = '▶ Play';
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isPlaying = false;
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} else {
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btn.textContent = '⏸ Pause';
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isPlaying = true;
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if (currentStep >= animationData.animation_steps.length - 1) {
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currentStep = 0;
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|
}
|
|
|
|
playInterval = setInterval(() => {
|
|
if (currentStep >= animationData.animation_steps.length - 1) {
|
|
clearInterval(playInterval);
|
|
document.getElementById('play-btn').textContent = '▶ Play';
|
|
isPlaying = false;
|
|
} else {
|
|
currentStep++;
|
|
updateChart(currentStep);
|
|
}
|
|
}, 500);
|
|
}
|
|
});
|
|
|
|
// Reset button
|
|
document.getElementById('reset-btn').addEventListener('click', () => {
|
|
if (isPlaying) {
|
|
clearInterval(playInterval);
|
|
document.getElementById('play-btn').textContent = '▶ Play';
|
|
isPlaying = false;
|
|
}
|
|
updateChart(0);
|
|
});
|
|
</script>
|
|
</body>
|
|
</html>
|