Unhandled Exception when using OrdinaryLeastSquaresRegressor #329

Closed
Closed
Unhandled Exception when using OrdinaryLeastSquaresRegressor#329

Description

@helloguo
helloguo
opened on Jun 7, 2018

System information

  • OS version/distro Windows 10:
  • .NET Version 2.1.300-rc1-008673:

Issue

=============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)
  • What did you expect?
    I was wondering how to use OrdinaryLeastSquaresRegressor?

Source code / logs

Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.

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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" + '

      Skip to content
      Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
      Closed
      Closed
      Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
      Description
      @helloguo
      helloguo
      opened on Jun 7, 2018
      System information
      • OS version/distro Windows 10:
      • .NET Version 2.1.300-rc1-008673:
      Issue
      =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

      • What did you expect?
        
I was wondering how to use OrdinaryLeastSquaresRegressor?
      Source code / logs
      Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
      Metadata
      Metadata
      Assignees
      No one assigned
        Labels
        No labels
        No labels
        Type
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        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
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          No branches or pull requests
          Issue actions
          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
          Closed
          Closed
          Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
          Description
          @helloguo
          helloguo
          opened on Jun 7, 2018
          System information
          • OS version/distro Windows 10:
          • .NET Version 2.1.300-rc1-008673:
          Issue
          =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

          • What did you expect?
            
I was wondering how to use OrdinaryLeastSquaresRegressor?
          Source code / logs
          Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
          Metadata
          Metadata
          Assignees
          No one assigned
            Labels
            No labels
            No labels
            Type
            No type
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
              Closed
              Closed
              Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
              Description
              @helloguo
              helloguo
              opened on Jun 7, 2018
              System information
              • OS version/distro Windows 10:
              • .NET Version 2.1.300-rc1-008673:
              Issue
              =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

              • What did you expect?
                
I was wondering how to use OrdinaryLeastSquaresRegressor?
              Source code / logs
              Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
              Metadata
              Metadata
              Assignees
              No one assigned
                Labels
                No labels
                No labels
                Type
                No type
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions
                  
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
                  Closed
                  Closed
                  Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
                  Description
                  @helloguo
                  helloguo
                  opened on Jun 7, 2018
                  System information
                  • OS version/distro Windows 10:
                  • .NET Version 2.1.300-rc1-008673:
                  Issue
                  =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

                  • What did you expect?
                    
I was wondering how to use OrdinaryLeastSquaresRegressor?
                  Source code / logs
                  Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
                  Metadata
                  Metadata
                  Assignees
                  No one assigned
                    Labels
                    No labels
                    No labels
                    Type
                    No type
                    Projects
                    No projects
                      Milestone
                      No milestone
                      Relationships
                      None yet
                      Development
                      No branches or pull requests
                      Issue actions
                      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
                      Closed
                      Closed
                      Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
                      Description
                      @helloguo
                      helloguo
                      opened on Jun 7, 2018
                      System information
                      • OS version/distro Windows 10:
                      • .NET Version 2.1.300-rc1-008673:
                      Issue
                      =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

                      • What did you expect?
                        
I was wondering how to use OrdinaryLeastSquaresRegressor?
                      Source code / logs
                      Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
                      Metadata
                      Metadata
                      Assignees
                      No one assigned
                        Labels
                        No labels
                        No labels
                        Type
                        No type
                        Projects
                        No projects
                          Milestone
                          No milestone
                          Relationships
                          None yet
                          Development
                          No branches or pull requests
                          Issue actions
                          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
                          Closed
                          Closed
                          Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
                          Description
                          @helloguo
                          helloguo
                          opened on Jun 7, 2018
                          System information
                          • OS version/distro Windows 10:
                          • .NET Version 2.1.300-rc1-008673:
                          Issue
                          =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

                          • What did you expect?
                            
I was wondering how to use OrdinaryLeastSquaresRegressor?
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                          Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
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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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                              Unhandled Exception when using OrdinaryLeastSquaresRegressor #329
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                              Closed
                              Unhandled Exception when using OrdinaryLeastSquaresRegressor#329
                              Description
                              @helloguo
                              helloguo
                              opened on Jun 7, 2018
                              System information
                              • OS version/distro Windows 10:
                              • .NET Version 2.1.300-rc1-008673:
                              Issue
                              =============== Training model ===============
Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off.
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Processed 100001 rows with 2 bad values and 0 format errors
Bad value at line 1 in column PassengerCount
Bad value at line 1 in column TripDistance
Bad value at line 1 in column FareAmount
Processed 100001 rows with 3 bad values and 0 format errors
Trainer solving for 19 parameters across 100000 examples
Unhandled Exception: System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.Reflection.TargetInvocationException: Exception has been thrown by the target of an invocation. ---> System.NotSupportedException: The MKL library (Microsoft.ML.MklImports.dll) or one of its dependencies is missing.
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainCore(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.Train(RoleMappedData examples)
--- End of inner exception stack trace ---
at System.RuntimeMethodHandle.InvokeMethod(Object target, Object[] arguments, Signature sig, Boolean constructor)
at System.Reflection.RuntimeMethodInfo.UnsafeInvokeInternal(Object obj, Object[] parameters, Object[] arguments)
at Microsoft.ML.Runtime.Data.TrainUtils.TrainCore(IHostEnvironment env, IChannel ch, RoleMappedData data, ITrainer trainer, String name, RoleMappedData validData, ICalibratorTrainer calibrator, Int32 maxCalibrationExamples, Nullable`1 cacheData, IPredictor inpPredictor)
at Microsoft.ML.Runtime.EntryPoints.LearnerEntryPointsUtils.Train[TArg,TOut](IHost host, TArg input, Func`1 createTrainer, Func`1 getLabel, Func`1 getWeight, Func`1 getGroup, Func`1 getName, Func`1 getCustom, ICalibratorTrainerFactory calibrator, Int32 maxCalibrationExamples)
at Microsoft.ML.Runtime.Learners.OlsLinearRegressionTrainer.TrainRegression(IHostEnvironment env, Arguments input)

                              • What did you expect?
                                
I was wondering how to use OrdinaryLeastSquaresRegressor?
                              Source code / logs
                              Please paste or attach the code or logs or traces that would be helpful to diagnose the issue you are reporting.
                              Metadata
                              Metadata
                              Assignees
                              No one assigned
                                Labels
                                No labels
                                No labels
                                Type
                                No type
                                Projects
                                No projects
                                  Milestone
                                  No milestone
                                  Relationships
                                  None yet
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                                  No branches or pull requests
                                  Issue actions