[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

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Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

@srsaggamsrsaggam left a comment

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Member

Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

@ghostghost locked as resolved and limited conversation to collaborators Mar 22, 2022
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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

@srsaggamsrsaggam left a comment

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Member

Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

@ghostghost locked as resolved and limited conversation to collaborators Mar 22, 2022
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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Member

Fixed this issue in above referenced PR

@justinormont

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ContributorAuthor

Thanks @srsaggam. PR is closed and the same changed in created in #3504.

@ghostghost locked as resolved and limited conversation to collaborators Mar 22, 2022
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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
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justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

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Fixed this issue in above referenced PR

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

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, '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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[AutoML] CLI CodeGen printing L1 instead of RMS - #3459

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justinormont:CodeGenRootMeanSquaredError
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[AutoML] CLI CodeGen printing L1 instead of RMS#3459
justinormont wants to merge 2 commits into
dotnet:features/automlfrom
justinormont:CodeGenRootMeanSquaredError

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CodeGen was printing the L1 Error in the RMS field.

=============== Cross-validating to get model's accuracy metrics ===============
************************************************************************************************************** Metrics for Regression model *------------------------------------------------------------------------------------------------------------
* Average L1 Loss: 298.351 * Average L2 Loss: 186688.889 * Average RMS: 298.351 * Average Loss Function: 186688.889 * Average R-squared: 0.687 *************************************************************************************************************
=============== Training model ===============
=============== End of training process ===============
=============== Saving the model ===============
The model is saved to /private/tmp/blah/openfoodfactsIngredientsToCalories/openfoodfactsIngredientsToCalories.ConsoleApp/bin/Release/netcoreapp2.1/../../../../OpenfoodfactsIngredientsToCalories.Model/MLModel.zip

Notice the 298.351 twice.

@justinormontjustinormont added the AutoML.NET Automating various steps of the machine learning process label Apr 22, 2019

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Thanks for fixing this,

var RMS = crossValidationResults.Select(r => r.Metrics.MeanAbsoluteError);
var RMS = crossValidationResults.Select(r => r.Metrics.RootMeanSquaredError);
var lossFunction = crossValidationResults.Select(r => r.Metrics.LossFunction);
var R2 = crossValidationResults.Select(r => r.Metrics.RSquared);

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Something is wrong in here. Looks like you have changed tt file but no corresponding change in .cs file.

@srsaggamsrsaggam left a comment

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Something wrong with template generation code. Need to update .cs files
Not sure how you updated the tt file without changes to its respective cs file. Are you using any other editor other than visual studio to edit the template?

@srsaggam

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Fixed this issue in above referenced PR

@justinormont

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Thanks @srsaggam. PR is closed and the same changed in created in #3504.

@ghostghost locked as resolved and limited conversation to collaborators Mar 22, 2022
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AutoML.NETAutomating various steps of the machine learning process

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2 participants

@justinormont@srsaggam