Mercurial > repos > goeckslab > ludwig_visualize
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planemo upload for repository https://github.com/goeckslab/Galaxy-Ludwig.git commit e2ab4c0f9ce8b7a0a48f749ef5dd9899d6c2b1f8
| author | goeckslab |
|---|---|
| date | Sat, 22 Nov 2025 01:15:52 +0000 |
| parents | dceb8493730d |
| children |
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<html> <head> <title>Galaxy-Ludwig Report</title> <style> body { font-family: Arial, sans-serif; margin: 0; padding: 20px; background-color: #f4f4f4; } .container { max-width: 800px; margin: auto; background: white; padding: 20px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); overflow-x: auto; } h1 { text-align: center; color: #333; } h2 { border-bottom: 2px solid #4CAF50; color: #4CAF50; padding-bottom: 5px; } table { border-collapse: collapse; margin: 20px 0; width: 100%; table-layout: fixed; /* Enforces consistent column widths */ } table, th, td { border: 1px solid #ddd; } th, td { padding: 8px; text-align: center; /* Center-align text */ vertical-align: middle; /* Center-align content vertically */ word-wrap: break-word; /* Break long words to avoid overflow */ } th:first-child, td:first-child { width: 5%; /* Smaller width for the first column */ } th:nth-child(2), td:nth-child(2) { width: 50%; /* Wider for the metric/description column */ } th:last-child, td:last-child { width: 25%; /* Value column gets remaining space */ } th { background-color: #4CAF50; color: white; } /* feature importance layout tweaks */ table.feature-importance-table { table-layout: auto; } table.feature-importance-table th, table.feature-importance-table td { white-space: nowrap; word-break: normal; } /* sortable tables */ .sortable-table th.sortable { cursor: pointer; position: relative; user-select: none; } .sortable-table th.sortable::after { content: '⇅'; position: absolute; right: 12px; top: 50%; transform: translateY(-50%); font-size: 0.8em; color: #eaf5ea; text-shadow: 0 0 1px rgba(0,0,0,0.15); } .sortable-table th.sortable.sorted-none::after { content: '⇅'; color: #eaf5ea; } .sortable-table th.sortable.sorted-asc::after { content: '↑'; color: #ffffff; } .sortable-table th.sortable.sorted-desc::after { content: '↓'; color: #ffffff; } .scroll-rows-30 { max-height: 900px; overflow-y: auto; overflow-x: auto; } .plot { text-align: center; margin: 20px 0; } .plot img { max-width: 100%; height: auto; } </style> <script> (function() { if (window.__sortableInit) return; window.__sortableInit = true; function initSortableTables() { document.querySelectorAll('table.sortable-table tbody').forEach(tbody => { Array.from(tbody.rows).forEach((row, i) => { row.dataset.originalOrder = i; }); }); const getText = td => (td?.innerText || '').trim(); const cmp = (idx, asc) => (a, b) => { const v1 = getText(a.children[idx]); const v2 = getText(b.children[idx]); const n1 = parseFloat(v1), n2 = parseFloat(v2); if (!isNaN(n1) && !isNaN(n2)) return asc ? n1 - n2 : n2 - n1; return asc ? v1.localeCompare(v2) : v2.localeCompare(v1); }; document.querySelectorAll('table.sortable-table th.sortable').forEach(th => { th.classList.remove('sorted-asc','sorted-desc'); th.classList.add('sorted-none'); th.addEventListener('click', () => { const table = th.closest('table'); const headerRow = th.parentNode; const allTh = headerRow.querySelectorAll('th.sortable'); const tbody = table.querySelector('tbody'); const isAsc = th.classList.contains('sorted-asc'); const isDesc = th.classList.contains('sorted-desc'); allTh.forEach(x => x.classList.remove('sorted-asc','sorted-desc','sorted-none')); let next; if (!isAsc && !isDesc) { next = 'asc'; } else if (isAsc) { next = 'desc'; } else { next = 'none'; } th.classList.add('sorted-' + next); const rows = Array.from(tbody.rows); if (next === 'none') { rows.sort((a, b) => (a.dataset.originalOrder - b.dataset.originalOrder)); } else { const idx = Array.from(headerRow.children).indexOf(th); rows.sort(cmp(idx, next === 'asc')); } rows.forEach(r => tbody.appendChild(r)); }); }); } if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', initSortableTables); } else { initSortableTables(); } })(); </script> </head> <body> <div class="container"> <h1>Ludwig Experiment</h1> <style> .tabs { display: flex; border-bottom: 2px solid #ccc; margin-top: 20px; margin-bottom: 1rem; } .tablink { padding: 9px 18px; cursor: pointer; border: 1px solid #ccc; border-bottom: none; background: #f9f9f9; margin-right: 5px; border-top-left-radius: 8px; border-top-right-radius: 8px; font-size: 0.95rem; font-weight: 500; font-family: Arial, sans-serif; color: #4A4A4A; } .tablink.active { background: #ffffff; font-weight: bold; } .tabcontent { border: 1px solid #ccc; border-top: none; padding: 20px; display: none; } .tabcontent.active { display: block; } </style> <div class="tabs"> <button class="tablink active" onclick="openTab(event, 'viz-tab')">Visualizations</button> <button class="tablink" onclick="openTab(event, 'feature-tab')">Feature Importance</button> </div> <div id="viz-tab" class="tabcontent active"> <h2>Visualizations</h2><div class="plot"><h3>learning curves temperature loss</h3><img src="data:image/png;base64,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" alt="learning_curves_temperature_loss.png"></div> </div> <div id="feature-tab" class="tabcontent"> <h2>Feature Importance</h2><p>Feature importance scores come from Ludwig's Integrated Gradients explainer. It interpolates between each example and a neutral baseline sample, summing the change in the model output along that path. Higher |importance| values indicate stronger influence. Plots share a common x-axis to make magnitudes comparable across labels, and the table columns can be sorted for quick scans.</p><div class='scroll-rows-30'><table class='feature-importance-table sortable-table'><thead><tr><th class='sortable'>label</th><th class='sortable'>feature</th><th class='sortable'>importance</th><th class='sortable'>abs importance</th></tr></thead><tbody><tr><td>temperature</td><td>temperature_feature</td><td>0.490821</td><td>0.490821</td></tr></tbody></table></div><div class="plot feature-importance-plot"><h3>Top features for temperature</h3><img src="data:image/png;base64,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" alt="Feature importance plot for temperature"></div> </div> <script> function openTab(evt, tabId) { var i, tabcontent, tablinks; tabcontent = document.getElementsByClassName("tabcontent"); for (i = 0; i < tabcontent.length; i++) { tabcontent[i].style.display = "none"; tabcontent[i].classList.remove("active"); } tablinks = document.getElementsByClassName("tablink"); for (i = 0; i < tablinks.length; i++) { tablinks[i].classList.remove("active"); } var current = document.getElementById(tabId); if (current) { current.style.display = "block"; current.classList.add("active"); } if (evt && evt.currentTarget) { evt.currentTarget.classList.add("active"); } } document.addEventListener("DOMContentLoaded", function() { openTab({currentTarget: document.querySelector(".tablink")}, "viz-tab"); }); </script> </div> </body> </html>
