BranchesTags

Repository files navigation

Model Builder

Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.

With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.

Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.

After training, you can generate code for training and consuming this model in their applications.

GIF of Model Builder

Get started with Model Builder using the following resources:

Installation

Prerequisites

  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later

Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.

Alternatively, you can install Model Builder from the Visual Studio marketplace

Limitations

  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.

How can I contribute?

Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.

Legal Notices

.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file.

Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries. The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks. Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.

Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839

.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents, or trademarks, whether by implication, estoppel or otherwise.

About

Simple UI tool to build custom machine learning models.

Resources

Readme

Code of conduct

Code of conduct
Activity
Custom properties

Stars

284 stars

Watchers

23 watching

Forks

66 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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
BranchesTags
Repository files navigation
Model Builder
Model Builder is a UI tool in Visual Studio that lets you build, train and consume custom machine learning models in your applications.
With little to no machine learning expertise you can use this visual interface to connect to your data stored in files or SQL Server.
Model Builder leverages best in class automated machine learning (AutoML) to train and evaluate different algorithms. It produces the best model for your scenario and data without any tuning required from you.
After training, you can generate code for training and consuming this model in their applications.
GIF of Model Builder
Get started with Model Builder using the following resources:
Installation
Prerequisites
  • Visual Studio 2022 or Visual Studio 2019
  • .NET Core 3.1 SDK or later
Model Builder is built into Visual Studio 2022 and Visual Studio 2019. For installation instructions, see the Model Builder installation guide.
Alternatively, you can install Model Builder from the Visual Studio marketplace
Limitations
  • ML.NET Model Builder Extension currently only works on Visual Studio on Windows.
How can I contribute?
Help us improve ML.NET tooling by filing issues and providing feedback on feature requests and bugs. For general guidance, see the filing an issue guide.
Legal Notices
.NET Foundation and any contributors grant you a license to the .NET Foundation documentation and other content
in this repository under the Creative Commons Attribution 4.0 International Public License,
see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see the
LICENSE-CODE file.
Microsoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation
may be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.
The licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.
Microsoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.
Privacy information can be found at https://go.microsoft.com/fwlink/?LinkId=521839
.NET Foundation and any contributors reserve all other rights, whether under their respective copyrights, patents,
or trademarks, whether by implication, estoppel or otherwise.
About
Simple UI tool to build custom machine learning models.
Resources
Readme
Code of conduct
Code of conduct
Activity
Custom properties
Stars
284 stars
Watchers
23 watching
Forks
66 forks
Report repository
Releases
Packages
Used by
Contributors
Languages