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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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('^' + ".*" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Contributor

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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('^' + ".*" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Contributor

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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('^' + ".*" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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('^' + ".*" + '
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Can you add x64 here as well? We only support building on an x64 machine.

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Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```
, '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); } })(); })();
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33 changes: 20 additions & 13 deletions Documentation/building/unix-instructions.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -7,37 +7,44 @@ Building ML.NET on Linux and macOS
3. Navigate to the `machinelearning` directory
4. Run the build script `./build.sh`

Calling the script `build.sh` builds both the native and managed code.
Calling the script `./build.sh` builds both the native and managed code.

For more information about the different options when building, run `build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).
For more information about the different options when building, run `./build.sh -?` and look at examples in the [developer-guide](../project-docs/developer-guide.md).

## Minimum Hardware Requirements
- 2GB RAM

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Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Can you add x64 here as well? We only support building on an x64 machine.

Copy link
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Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Recommend adding ./ as "run ./build.sh -? " to remind users that they will need it.

- x64

## Prerequisites (native build)
## Prerequisites

### Linux

First, the package lists might need to be updated
The following components are needed:

`sudo apt-get update`
* git
* clang-3.9
* cmake 2.8.12
* libunwind8
* curl
* All the requirements necessary to run .NET Core 2.0 applications: libssl1.0.0 (1.0.2 for Debian 9) and libicu5x (libicu52 for ubuntu 14.x, libicu55 for ubuntu 16.x, and libicu57 for ubuntu 17.x). For more information on prerequisites in different linux distributions click [here](https://docs.microsoft.com/en-us/dotnet/core/linux-prerequisites?tabs=netcore2x).

On Linux, the following components are needed
e.g. for Ubuntu 16.x:

* CMake on the PATH
* Clang 3.5+ (same requirements as coreclr/corefx)
* All the requirements necessary to run .NET Core 2.0 applications
* libunwind
* curl
```sh
sudo apt-get update
sudo apt-get install git clang-3.9 cmake libunwind8 curl
sudo apt-get install libssl1.0.0 libicu55
```

### macOS

macOS 10.12 or higher is needed to build dotnet/machinelearning.

On macOS a few components are needed which are not provided by a default developer setup:
* CMake
* cmake 3.10.3
* All the requirements necessary to run .NET Core 2.0 applications. To view macOS prerequisites click [here](https://docs.microsoft.com/en-us/dotnet/core/macos-prerequisites?tabs=netcore2x).

One way of obtaining CMake is via [Homebrew](http://brew.sh):
```sh
$ brew install cmake
```
```