I had an F# sample for multiclass SVM that work perfectly with version 2.11.0.0, but when I run the same code upgrading to version 2.14.0, SVM fails to converge.

The sample code I am using is here (relevant code part highlighted) - it's a multi-class SVM model on a subset of the MINST/digit recognition dataset:
https://github.com/mathias-brandewinder/Presentations/blob/master/Machine-Learning-With-FSharp/code/Classification/Script.fsx#L49-67

When I upgraded to 2.14.0, I get the error message below. Was there any significant change to the library that would explain this?

Thanks in advance!

Mathias

System.AggregateException: One or more errors occurred. ---> System.AggregateException: One or more errors occurred. ---> Accord.ConvergenceException: Convergence could not be attained. Please reduce the cost of misclassification errors by reducing the complexity parameter C or try a different kernel function.
at Accord.MachineLearning.VectorMachines.Learning.SequentialMinimalOptimization.Run(CancellationToken token, Double[] c)
at Accord.MachineLearning.VectorMachines.Learning.BaseSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<>c__DisplayClass6.b__1(Int32 j)
at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.<ForWorker>b__c() at System.Threading.Tasks.Task.InnerInvoke() at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask) at System.Threading.Tasks.Task.<>c__DisplayClass11.<ExecuteSelfReplicating>b__10(Object param0) --- End of inner exception stack trace --- at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions) at System.Threading.Tasks.Task.Wait(Int32 millisecondsTimeout, CancellationToken cancellationToken) at System.Threading.Tasks.Task.Wait() at System.Threading.Tasks.Parallel.ForWorker[TLocal](Int32 fromInclusive, Int32 toExclusive, ParallelOptions parallelOptions, Action1 body, Action2 bodyWithState, Func4 bodyWithLocal, Func1 localInit, Action1 localFinally)
at System.Threading.Tasks.Parallel.For(Int32 fromInclusive, Int32 toExclusive, Action1 body) at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<Run>b__0(Int32 i) at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.b__c()
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask)
at System.Threading.Tasks.Task.<>c__DisplayClass11.b__10(Object param0)
--- End of inner exception stack trace ---
at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions)
at System.Threading.Tasks.Task.Wait(Int32 millisecondsTimeout, CancellationToken cancellationToken)
at System.Threading.Tasks.Task.Wait()
at System.Threading.Tasks.Parallel.ForWorker[TLocal](Int32 fromInclusive, Int32 toExclusive, ParallelOptions parallelOptions, Action1 body, Action2 bodyWithState, Func4 bodyWithLocal, Func1 localInit, Action1 localFinally) at System.Threading.Tasks.Parallel.For(Int32 fromInclusive, Int32 toExclusive, Action1 body)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at <StartupCode$FSI_0002>.$FSI_0002.main@() in c:\Users\Mathias Brandewinder\Documents\Visual Studio 2013\Projects\AccordDemo\AccordDemo\Script.fsx:line 59
---> (Inner Exception #0) System.AggregateException: One or more errors occurred. ---> Accord.ConvergenceException: Convergence could not be attained. Please reduce the cost of misclassification errors by reducing the complexity parameter C or try a different kernel function.
at Accord.MachineLearning.VectorMachines.Learning.SequentialMinimalOptimization.Run(CancellationToken token, Double[] c)
at Accord.MachineLearning.VectorMachines.Learning.BaseSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<>c__DisplayClass6.b__1(Int32 j)
at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.<ForWorker>b__c() at System.Threading.Tasks.Task.InnerInvoke() at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask) at System.Threading.Tasks.Task.<>c__DisplayClass11.<ExecuteSelfReplicating>b__10(Object param0) --- End of inner exception stack trace --- at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions) at System.Threading.Tasks.Task.Wait(Int32 millisecondsTimeout, CancellationToken cancellationToken) at System.Threading.Tasks.Task.Wait() at System.Threading.Tasks.Parallel.ForWorker[TLocal](Int32 fromInclusive, Int32 toExclusive, ParallelOptions parallelOptions, Action1 body, Action2 bodyWithState, Func4 bodyWithLocal, Func1 localInit, Action1 localFinally)
at System.Threading.Tasks.Parallel.For(Int32 fromInclusive, Int32 toExclusive, Action1 body) at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<Run>b__0(Int32 i) at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.b__c()
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask)
at System.Threading.Tasks.Task.<>c__DisplayClass11.b__10(Object param0)
---> (Inner Exception #0) Accord.ConvergenceException: Convergence could not be attained. Please reduce the cost of misclassification errors by reducing the complexity parameter C or try a different kernel function.
at Accord.MachineLearning.VectorMachines.Learning.SequentialMinimalOptimization.Run(CancellationToken token, Double[] c)
at Accord.MachineLearning.VectorMachines.Learning.BaseSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<>c__DisplayClass6.b__1(Int32 j)
at System.Threading.Tasks.Parallel.<>c__DisplayClassf`1.b__c()
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask)
at System.Threading.Tasks.Task.<>c__DisplayClass11.b__10(Object param0)<---
<---

---> (Inner Exception #1) System.AggregateException: One or more errors occurred. ---> Accord.ConvergenceException: Convergence could not be attained. Please reduce the cost of misclassification errors by reducing the complexity parameter C or try a different kernel function.
at Accord.MachineLearning.VectorMachines.Learning.SequentialMinimalOptimization.Run(CancellationToken token, Double[] c)
at Accord.MachineLearning.VectorMachines.Learning.BaseSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<>c__DisplayClass6.b__1(Int32 j)
at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.<ForWorker>b__c() at System.Threading.Tasks.Task.InnerInvoke() at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask) at System.Threading.Tasks.Task.<>c__DisplayClass11.<ExecuteSelfReplicating>b__10(Object param0) --- End of inner exception stack trace --- at System.Threading.Tasks.Task.ThrowIfExceptional(Boolean includeTaskCanceledExceptions) at System.Threading.Tasks.Task.Wait(Int32 millisecondsTimeout, CancellationToken cancellationToken) at System.Threading.Tasks.Task.Wait() at System.Threading.Tasks.Parallel.ForWorker[TLocal](Int32 fromInclusive, Int32 toExclusive, ParallelOptions parallelOptions, Action1 body, Action2 bodyWithState, Func4 bodyWithLocal, Func1 localInit, Action1 localFinally)
at System.Threading.Tasks.Parallel.For(Int32 fromInclusive, Int32 toExclusive, Action1 body) at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<Run>b__0(Int32 i) at System.Threading.Tasks.Parallel.<>c__DisplayClassf1.b__c()
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask)
at System.Threading.Tasks.Task.<>c__DisplayClass11.b__10(Object param0)
---> (Inner Exception #0) Accord.ConvergenceException: Convergence could not be attained. Please reduce the cost of misclassification errors by reducing the complexity parameter C or try a different kernel function.
at Accord.MachineLearning.VectorMachines.Learning.SequentialMinimalOptimization.Run(CancellationToken token, Double[] c)
at Accord.MachineLearning.VectorMachines.Learning.BaseSupportVectorLearning.Run(Boolean computeError, CancellationToken token)
at Accord.MachineLearning.VectorMachines.Learning.MulticlassSupportVectorLearning.<>c__DisplayClass4.<>c__DisplayClass6.b__1(Int32 j)
at System.Threading.Tasks.Parallel.<>c__DisplayClassf`1.b__c()
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.InnerInvokeWithArg(Task childTask)
at System.Threading.Tasks.Task.<>c__DisplayClass11.b__10(Object param0)<---
<---

Stopped due to error