Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294

Closed
Closed
Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
Assignees
LittleLittleCloud
Labels
Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
Milestone
March 2023

Description

@v-Hailishi
v-Hailishi
opened on Oct 18, 2022

System Information (please complete the following information):
Windows OS: Windows-11-Enterprise-21H2
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
Microsoft Visual Studio Enterprise: 2022(17.3.6)
.Net: 6.0

Describe the bug

  • On which step of the process did you run into an issue:
    Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".

Data Source
https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv

To Reproduce
Steps to reproduce the behavior:

  1. Select Create a new project from the Visual Studio 2022 start window.
  2. Choose the C# Console App (.NET Core6.0) project template.
  3. Add model builder by right click on the project.
  4. Select Data classification scenario.
  5. On Data page, select the data source and choose SentimentText column as label.
  6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
  7. You will see that training failed with model builder error "Index was outside the bounds of the array".

Expected behavior
Training successful.

Screenshot
image

Additional context:
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
#2294

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Metadata

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Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test

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    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

    Skip to content
    Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
    Closed
    Closed
    Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
    Assignees
    LittleLittleCloud
    Labels
    Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
    Milestone
    March 2023
    Description
    @v-Hailishi
    v-Hailishi
    opened on Oct 18, 2022
    System Information (please complete the following information):
    
Windows OS: Windows-11-Enterprise-21H2
    
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
    
Microsoft Visual Studio Enterprise: 2022(17.3.6)
    
.Net: 6.0
    Describe the bug
    • On which step of the process did you run into an issue:
      
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
    Data Source
    https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
    To Reproduce
    
Steps to reproduce the behavior:
    1. Select Create a new project from the Visual Studio 2022 start window.
    2. Choose the C# Console App (.NET Core6.0) project template.
    3. Add model builder by right click on the project.
    4. Select Data classification scenario.
    5. On Data page, select the data source and choose SentimentText column as label.
    6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
    7. You will see that training failed with model builder error "Index was outside the bounds of the array".
    Expected behavior
    
Training successful.
    Screenshot
    image
    Additional context:
    
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
    #2294
    Metadata
    Metadata
    Assignees
    Labels
    Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
    Type
    No type
    Projects
    No projects
      Milestone
      Relationships
      None yet
      Development
      No branches or pull requests
      Issue actions
      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

      Skip to content
      Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
      Closed
      Closed
      Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
      Assignees
      LittleLittleCloud
      Labels
      Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
      Milestone
      March 2023
      Description
      @v-Hailishi
      v-Hailishi
      opened on Oct 18, 2022
      System Information (please complete the following information):
      
Windows OS: Windows-11-Enterprise-21H2
      
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
      
Microsoft Visual Studio Enterprise: 2022(17.3.6)
      
.Net: 6.0
      Describe the bug
      • On which step of the process did you run into an issue:
        
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
      Data Source
      https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
      To Reproduce
      
Steps to reproduce the behavior:
      1. Select Create a new project from the Visual Studio 2022 start window.
      2. Choose the C# Console App (.NET Core6.0) project template.
      3. Add model builder by right click on the project.
      4. Select Data classification scenario.
      5. On Data page, select the data source and choose SentimentText column as label.
      6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
      7. You will see that training failed with model builder error "Index was outside the bounds of the array".
      Expected behavior
      
Training successful.
      Screenshot
      image
      Additional context:
      
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
      #2294
      Metadata
      Metadata
      Assignees
      Labels
      Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
      Type
      No type
      Projects
      No projects
        Milestone
        Relationships
        None yet
        Development
        No branches or pull requests
        Issue actions
        
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

        Skip to content
        Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
        Closed
        Closed
        Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
        Assignees
        LittleLittleCloud
        Labels
        Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
        Milestone
        March 2023
        Description
        @v-Hailishi
        v-Hailishi
        opened on Oct 18, 2022
        System Information (please complete the following information):
        
Windows OS: Windows-11-Enterprise-21H2
        
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
        
Microsoft Visual Studio Enterprise: 2022(17.3.6)
        
.Net: 6.0
        Describe the bug
        • On which step of the process did you run into an issue:
          
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
        Data Source
        https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
        To Reproduce
        
Steps to reproduce the behavior:
        1. Select Create a new project from the Visual Studio 2022 start window.
        2. Choose the C# Console App (.NET Core6.0) project template.
        3. Add model builder by right click on the project.
        4. Select Data classification scenario.
        5. On Data page, select the data source and choose SentimentText column as label.
        6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
        7. You will see that training failed with model builder error "Index was outside the bounds of the array".
        Expected behavior
        
Training successful.
        Screenshot
        image
        Additional context:
        
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
        #2294
        Metadata
        Metadata
        Assignees
        Labels
        Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
        Type
        No type
        Projects
        No projects
          Milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

          Skip to content
          Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
          Closed
          Closed
          Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
          Assignees
          LittleLittleCloud
          Labels
          Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
          Milestone
          March 2023
          Description
          @v-Hailishi
          v-Hailishi
          opened on Oct 18, 2022
          System Information (please complete the following information):
          
Windows OS: Windows-11-Enterprise-21H2
          
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
          
Microsoft Visual Studio Enterprise: 2022(17.3.6)
          
.Net: 6.0
          Describe the bug
          • On which step of the process did you run into an issue:
            
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
          Data Source
          https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
          To Reproduce
          
Steps to reproduce the behavior:
          1. Select Create a new project from the Visual Studio 2022 start window.
          2. Choose the C# Console App (.NET Core6.0) project template.
          3. Add model builder by right click on the project.
          4. Select Data classification scenario.
          5. On Data page, select the data source and choose SentimentText column as label.
          6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
          7. You will see that training failed with model builder error "Index was outside the bounds of the array".
          Expected behavior
          
Training successful.
          Screenshot
          image
          Additional context:
          
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
          #2294
          Metadata
          Metadata
          Assignees
          Labels
          Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
          Type
          No type
          Projects
          No projects
            Milestone
            Relationships
            None yet
            Development
            No branches or pull requests
            Issue actions
            
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

            Skip to content
            Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
            Closed
            Closed
            Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
            Assignees
            LittleLittleCloud
            Labels
            Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
            Milestone
            March 2023
            Description
            @v-Hailishi
            v-Hailishi
            opened on Oct 18, 2022
            System Information (please complete the following information):
            
Windows OS: Windows-11-Enterprise-21H2
            
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
            
Microsoft Visual Studio Enterprise: 2022(17.3.6)
            
.Net: 6.0
            Describe the bug
            • On which step of the process did you run into an issue:
              
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
            Data Source
            https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
            To Reproduce
            
Steps to reproduce the behavior:
            1. Select Create a new project from the Visual Studio 2022 start window.
            2. Choose the C# Console App (.NET Core6.0) project template.
            3. Add model builder by right click on the project.
            4. Select Data classification scenario.
            5. On Data page, select the data source and choose SentimentText column as label.
            6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
            7. You will see that training failed with model builder error "Index was outside the bounds of the array".
            Expected behavior
            
Training successful.
            Screenshot
            image
            Additional context:
            
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
            #2294
            Metadata
            Metadata
            Assignees
            Labels
            Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
            Type
            No type
            Projects
            No projects
              Milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
              Closed
              Closed
              Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
              Assignees
              LittleLittleCloud
              Labels
              Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
              Milestone
              March 2023
              Description
              @v-Hailishi
              v-Hailishi
              opened on Oct 18, 2022
              System Information (please complete the following information):
              
Windows OS: Windows-11-Enterprise-21H2
              
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
              
Microsoft Visual Studio Enterprise: 2022(17.3.6)
              
.Net: 6.0
              Describe the bug
              • On which step of the process did you run into an issue:
                
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
              Data Source
              https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
              To Reproduce
              
Steps to reproduce the behavior:
              1. Select Create a new project from the Visual Studio 2022 start window.
              2. Choose the C# Console App (.NET Core6.0) project template.
              3. Add model builder by right click on the project.
              4. Select Data classification scenario.
              5. On Data page, select the data source and choose SentimentText column as label.
              6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
              7. You will see that training failed with model builder error "Index was outside the bounds of the array".
              Expected behavior
              
Training successful.
              Screenshot
              image
              Additional context:
              
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
              #2294
              Metadata
              Metadata
              Assignees
              Labels
              Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
              Type
              No type
              Projects
              No projects
                Milestone
                Relationships
                None yet
                Development
                No branches or pull requests
                Issue actions
                
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                Skip to content
                Data classification: Training failed with model builder error "Index was outside the bounds of the array". #2294
                Closed
                Closed
                Data classification: Training failed with model builder error "Index was outside the bounds of the array".#2294
                Assignees
                LittleLittleCloud
                Labels
                Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
                Milestone
                March 2023
                Description
                @v-Hailishi
                v-Hailishi
                opened on Oct 18, 2022
                System Information (please complete the following information):
                
Windows OS: Windows-11-Enterprise-21H2
                
ML.Net Model Builder 2022: 16.13.10.22513701 (Main Build)
                
Microsoft Visual Studio Enterprise: 2022(17.3.6)
                
.Net: 6.0
                Describe the bug
                • On which step of the process did you run into an issue:
                  
Training failed with model builder error "Index was outside the bounds of the array" when choosing "SentimentText" as Label and using metric "Log-Loss Reduction".
                Data Source
                https://testpass.blob.core.windows.net/test-pass-data/wikipedia-detox-250-line-data.tsv
                To Reproduce
                
Steps to reproduce the behavior:
                1. Select Create a new project from the Visual Studio 2022 start window.
                2. Choose the C# Console App (.NET Core6.0) project template.
                3. Add model builder by right click on the project.
                4. Select Data classification scenario.
                5. On Data page, select the data source and choose SentimentText column as label.
                6. On the Train page, choose metric "Log-Loss Reduction", then click "Start training" button.
                7. You will see that training failed with model builder error "Index was outside the bounds of the array".
                Expected behavior
                
Training successful.
                Screenshot
                image
                Additional context:
                
After the error occurs, .mbconfig file cannot be saved successfully with error "Value cannot be null".
                #2294
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                Priority:1Work that is critical for the release, but we could probably ship withoutReported by: Test
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