Add Examples/Samples for ML.NET  #140

Closed
Closed
Add Examples/Samples for ML.NET #140
Assignees
OliaG
Labels
enhancementNew feature or request
Milestone
0618

Description

@asthana86
asthana86
opened on May 13, 2018

Why Examples?
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.

What should we do?
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.

1. First Touch with ML.NET:
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
e.g. Taxi Fare, Sentiment Analysis, Iris etc.

2. ML.NET usage:
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.

3. End-End samples
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
real world sample app will look like with ML.NET

Thoughts?

Metadata

Metadata

Assignees

Labels

enhancementNew feature or request

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("// 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
    Add Examples/Samples for ML.NET  #140
    Closed
    Closed
    Add Examples/Samples for ML.NET #140
    Assignees
    OliaG
    Labels
    enhancementNew feature or request
    Milestone
    0618
    Description
    @asthana86
    asthana86
    opened on May 13, 2018
    Why Examples?
    
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
    What should we do?
    
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
    1. First Touch with ML.NET:
    
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
    
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
    2. ML.NET usage:
    
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
    3. End-End samples
    
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
    
real world sample app will look like with ML.NET
    Thoughts?
    Metadata
    Metadata
    Assignees
    Labels
    enhancementNew feature or request
    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
      Add Examples/Samples for ML.NET  #140
      Closed
      Closed
      Add Examples/Samples for ML.NET #140
      Assignees
      OliaG
      Labels
      enhancementNew feature or request
      Milestone
      0618
      Description
      @asthana86
      asthana86
      opened on May 13, 2018
      Why Examples?
      
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
      What should we do?
      
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
      1. First Touch with ML.NET:
      
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
      
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
      2. ML.NET usage:
      
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
      3. End-End samples
      
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
      
real world sample app will look like with ML.NET
      Thoughts?
      Metadata
      Metadata
      Assignees
      Labels
      enhancementNew feature or request
      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
        Add Examples/Samples for ML.NET  #140
        Closed
        Closed
        Add Examples/Samples for ML.NET #140
        Assignees
        OliaG
        Labels
        enhancementNew feature or request
        Milestone
        0618
        Description
        @asthana86
        asthana86
        opened on May 13, 2018
        Why Examples?
        
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
        What should we do?
        
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
        1. First Touch with ML.NET:
        
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
        
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
        2. ML.NET usage:
        
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
        3. End-End samples
        
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
        
real world sample app will look like with ML.NET
        Thoughts?
        Metadata
        Metadata
        Assignees
        Labels
        enhancementNew feature or request
        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
          Add Examples/Samples for ML.NET  #140
          Closed
          Closed
          Add Examples/Samples for ML.NET #140
          Assignees
          OliaG
          Labels
          enhancementNew feature or request
          Milestone
          0618
          Description
          @asthana86
          asthana86
          opened on May 13, 2018
          Why Examples?
          
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
          What should we do?
          
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
          1. First Touch with ML.NET:
          
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
          
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
          2. ML.NET usage:
          
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
          3. End-End samples
          
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
          
real world sample app will look like with ML.NET
          Thoughts?
          Metadata
          Metadata
          Assignees
          Labels
          enhancementNew feature or request
          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
            Add Examples/Samples for ML.NET  #140
            Closed
            Closed
            Add Examples/Samples for ML.NET #140
            Assignees
            OliaG
            Labels
            enhancementNew feature or request
            Milestone
            0618
            Description
            @asthana86
            asthana86
            opened on May 13, 2018
            Why Examples?
            
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
            What should we do?
            
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
            1. First Touch with ML.NET:
            
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
            
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
            2. ML.NET usage:
            
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
            3. End-End samples
            
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
            
real world sample app will look like with ML.NET
            Thoughts?
            Metadata
            Metadata
            Assignees
            Labels
            enhancementNew feature or request
            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
              Add Examples/Samples for ML.NET  #140
              Closed
              Closed
              Add Examples/Samples for ML.NET #140
              Assignees
              OliaG
              Labels
              enhancementNew feature or request
              Milestone
              0618
              Description
              @asthana86
              asthana86
              opened on May 13, 2018
              Why Examples?
              
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
              What should we do?
              
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
              1. First Touch with ML.NET:
              
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
              
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
              2. ML.NET usage:
              
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
              3. End-End samples
              
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
              
real world sample app will look like with ML.NET
              Thoughts?
              Metadata
              Metadata
              Assignees
              Labels
              enhancementNew feature or request
              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
                Add Examples/Samples for ML.NET  #140
                Closed
                Closed
                Add Examples/Samples for ML.NET #140
                Assignees
                OliaG
                Labels
                enhancementNew feature or request
                Milestone
                0618
                Description
                @asthana86
                asthana86
                opened on May 13, 2018
                Why Examples?
                
To simplify getting-started for ml.net add examples for different ML tasks like regression, binary and multi-class classification. In the future examples should also demonstrate how to use different transforms, transforms with hyper-parameters, learners and more. This will allow ML.NET users to have a great getting started experience OOTB and also help build models specific to their problem sets.
                What should we do?
                
There are a few kind of examples/samples required. 1. and 2. should be available as a part of the dotnet/machinelearning/samples location. For 3. we should find a place to host them separate to this repository.
                1. First Touch with ML.NET:
                
- Simple, getting started, Quick-Starts, F5-able in Visual Studio/VS Code and dot-net CLI
                
e.g. Taxi Fare, Sentiment Analysis, Iris etc.
                2. ML.NET usage:
                
- How to use different features in ML.NET: CV vs. train-test, using different transforms, learners etc.
                3. End-End samples
                
- Real world apps like ASP.NET apps(eshop), Cloud Native apps demonstrating how a productized,
                
real world sample app will look like with ML.NET
                Thoughts?
                Metadata
                Metadata
                Assignees
                Labels
                enhancementNew feature or request
                Type
                No type
                Projects
                No projects
                  Milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions