Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); GitHub - johngray/mlclojure: A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets · GitHub
Skip to content

Repository files navigation

mlclojure

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets. At some later it will contain features like plotting of learning curves, cost functions etc.

Installation

  1. Clone the repo.
  2. Install leiningen.

Usage

Just lein run in the console.

License

Copyright © 2017 Pavel Tumilovich

Distributed under the MIT License of any later version.

About

A simple implementation of basic Machine Learning algorithms using clojure with some simple datasets

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages