ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238

Closed
Closed
ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
Assignees
JakeRadMSFT

Description

@magnusseptim
magnusseptim
opened on Sep 18, 2019

System Information

  • Model Builder Version: Latest
  • Visual Studio Version : VS 2019 Community 16.2.5

Bug description
Model Builder Get Started, on step :
https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
output shows :

Exception occured while exploring pipelines:
must be in range [0, 0.5)
Parameter name: L2Regularization
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
Parameter name: L2Regularization
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.

b__0(NewCommandSettings options)
Please see the log file for more info.
Exiting ...

Last tested algorithm visible in output is :

|9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |

Steps to Reproduce

  1. Right click on project -> Add -> Machine Learning
  2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
  3. In "Time to train (seconds)" textbox set >= 60
  4. Wait until output shows error

Expected behavior
Same as you train it shorter, no errors but starting next step

Screenshots
obraz

Metadata

Metadata

Assignees

Labels

No labels
No labels

Type

No type

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    No milestone

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    No branches or pull requests

    Issue actions

    , '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
    ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
    Closed
    Closed
    ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
    Assignees
    JakeRadMSFT
    Description
    @magnusseptim
    magnusseptim
    opened on Sep 18, 2019
    System Information
    • Model Builder Version: Latest
    • Visual Studio Version : VS 2019 Community 16.2.5
    Bug description
    
Model Builder Get Started, on step :
    https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
    
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
    
output shows :
    Exception occured while exploring pipelines:
    
must be in range [0, 0.5)
    
Parameter name: L2Regularization
    
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
    
Parameter name: L2Regularization
    
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
    
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
    b__0(NewCommandSettings options)
    
Please see the log file for more info.
    
Exiting ...
    Last tested algorithm visible in output is :
    |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
    Steps to Reproduce
    1. Right click on project -> Add -> Machine Learning
    2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
    3. In "Time to train (seconds)" textbox set >= 60
    4. Wait until output shows error
    Expected behavior
    
Same as you train it shorter, no errors but starting next step
    Screenshots
    obraz
    Metadata
    Metadata
    Assignees
    Labels
    No labels
    No labels
    Type
    No type
    Projects
    No projects
      Milestone
      No 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
      ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
      Closed
      Closed
      ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
      Assignees
      JakeRadMSFT
      Description
      @magnusseptim
      magnusseptim
      opened on Sep 18, 2019
      System Information
      • Model Builder Version: Latest
      • Visual Studio Version : VS 2019 Community 16.2.5
      Bug description
      
Model Builder Get Started, on step :
      https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
      
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
      
output shows :
      Exception occured while exploring pipelines:
      
must be in range [0, 0.5)
      
Parameter name: L2Regularization
      
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
      
Parameter name: L2Regularization
      
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
      
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
      b__0(NewCommandSettings options)
      
Please see the log file for more info.
      
Exiting ...
      Last tested algorithm visible in output is :
      |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
      Steps to Reproduce
      1. Right click on project -> Add -> Machine Learning
      2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
      3. In "Time to train (seconds)" textbox set >= 60
      4. Wait until output shows error
      Expected behavior
      
Same as you train it shorter, no errors but starting next step
      Screenshots
      obraz
      Metadata
      Metadata
      Assignees
      Labels
      No labels
      No labels
      Type
      No type
      Projects
      No projects
        Milestone
        No 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
        ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
        Closed
        Closed
        ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
        Assignees
        JakeRadMSFT
        Description
        @magnusseptim
        magnusseptim
        opened on Sep 18, 2019
        System Information
        • Model Builder Version: Latest
        • Visual Studio Version : VS 2019 Community 16.2.5
        Bug description
        
Model Builder Get Started, on step :
        https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
        
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
        
output shows :
        Exception occured while exploring pipelines:
        
must be in range [0, 0.5)
        
Parameter name: L2Regularization
        
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
        
Parameter name: L2Regularization
        
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
        
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
        b__0(NewCommandSettings options)
        
Please see the log file for more info.
        
Exiting ...
        Last tested algorithm visible in output is :
        |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
        Steps to Reproduce
        1. Right click on project -> Add -> Machine Learning
        2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
        3. In "Time to train (seconds)" textbox set >= 60
        4. Wait until output shows error
        Expected behavior
        
Same as you train it shorter, no errors but starting next step
        Screenshots
        obraz
        Metadata
        Metadata
        Assignees
        Labels
        No labels
        No labels
        Type
        No type
        Projects
        No projects
          Milestone
          No 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
          ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
          Closed
          Closed
          ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
          Assignees
          JakeRadMSFT
          Description
          @magnusseptim
          magnusseptim
          opened on Sep 18, 2019
          System Information
          • Model Builder Version: Latest
          • Visual Studio Version : VS 2019 Community 16.2.5
          Bug description
          
Model Builder Get Started, on step :
          https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
          
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
          
output shows :
          Exception occured while exploring pipelines:
          
must be in range [0, 0.5)
          
Parameter name: L2Regularization
          
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
          
Parameter name: L2Regularization
          
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
          
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
          b__0(NewCommandSettings options)
          
Please see the log file for more info.
          
Exiting ...
          Last tested algorithm visible in output is :
          |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
          Steps to Reproduce
          1. Right click on project -> Add -> Machine Learning
          2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
          3. In "Time to train (seconds)" textbox set >= 60
          4. Wait until output shows error
          Expected behavior
          
Same as you train it shorter, no errors but starting next step
          Screenshots
          obraz
          Metadata
          Metadata
          Assignees
          Labels
          No labels
          No labels
          Type
          No type
          Projects
          No projects
            Milestone
            No 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
            ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
            Closed
            Closed
            ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
            Assignees
            JakeRadMSFT
            Description
            @magnusseptim
            magnusseptim
            opened on Sep 18, 2019
            System Information
            • Model Builder Version: Latest
            • Visual Studio Version : VS 2019 Community 16.2.5
            Bug description
            
Model Builder Get Started, on step :
            https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
            
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
            
output shows :
            Exception occured while exploring pipelines:
            
must be in range [0, 0.5)
            
Parameter name: L2Regularization
            
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
            
Parameter name: L2Regularization
            
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
            
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
            b__0(NewCommandSettings options)
            
Please see the log file for more info.
            
Exiting ...
            Last tested algorithm visible in output is :
            |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
            Steps to Reproduce
            1. Right click on project -> Add -> Machine Learning
            2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
            3. In "Time to train (seconds)" textbox set >= 60
            4. Wait until output shows error
            Expected behavior
            
Same as you train it shorter, no errors but starting next step
            Screenshots
            obraz
            Metadata
            Metadata
            Assignees
            Labels
            No labels
            No labels
            Type
            No type
            Projects
            No projects
              Milestone
              No 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
              ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
              Closed
              Closed
              ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
              Assignees
              JakeRadMSFT
              Description
              @magnusseptim
              magnusseptim
              opened on Sep 18, 2019
              System Information
              • Model Builder Version: Latest
              • Visual Studio Version : VS 2019 Community 16.2.5
              Bug description
              
Model Builder Get Started, on step :
              https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
              
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
              
output shows :
              Exception occured while exploring pipelines:
              
must be in range [0, 0.5)
              
Parameter name: L2Regularization
              
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
              
Parameter name: L2Regularization
              
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
              
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
              b__0(NewCommandSettings options)
              
Please see the log file for more info.
              
Exiting ...
              Last tested algorithm visible in output is :
              |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
              Steps to Reproduce
              1. Right click on project -> Add -> Machine Learning
              2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
              3. In "Time to train (seconds)" textbox set >= 60
              4. Wait until output shows error
              Expected behavior
              
Same as you train it shorter, no errors but starting next step
              Screenshots
              obraz
              Metadata
              Metadata
              Assignees
              Labels
              No labels
              No labels
              Type
              No type
              Projects
              No projects
                Milestone
                No 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
                ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec #238
                Closed
                Closed
                ML.NET Builder Get Started sample throw excepion when Train time longer than 60 sec#238
                Assignees
                JakeRadMSFT
                Description
                @magnusseptim
                magnusseptim
                opened on Sep 18, 2019
                System Information
                • Model Builder Version: Latest
                • Visual Studio Version : VS 2019 Community 16.2.5
                Bug description
                
Model Builder Get Started, on step :
                https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/train
                
using wikipedia-detox-250-line-data.tsv, when train time is longer or equal than 60 sec,
                
output shows :
                Exception occured while exploring pipelines:
                
must be in range [0, 0.5)
                
Parameter name: L2Regularization
                
System.ArgumentOutOfRangeException: must be in range [0, 0.5)
                
Parameter name: L2Regularization
                
at Microsoft.ML.CLI.CodeGenerator.CodeGenerationHelper.GenerateCode()
                
at Microsoft.ML.CLI.Program.<>c__DisplayClass1_0.
                b__0(NewCommandSettings options)
                
Please see the log file for more info.
                
Exiting ...
                Last tested algorithm visible in output is :
                |9 SgdCalibratedBinary 0,7317 0,8104 0,9053 0,7925 1,4 0 |
                Steps to Reproduce
                1. Right click on project -> Add -> Machine Learning
                2. Follow Get Started from : https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro until "Train your model"
                3. In "Time to train (seconds)" textbox set >= 60
                4. Wait until output shows error
                Expected behavior
                
Same as you train it shorter, no errors but starting next step
                Screenshots
                obraz
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