* Latest "SVC" in the News *
FIRE101 Jobs:
FIREMEN, EMS, Emergency, Rescue
|
POLICE101 Jobs:
Cops,Officers,Security
|
Mainframe IT Jobs:
z/OS, z/VM, DB2, COBOL,QA,INTERNs
|
Software Jobs:
Web, Linux, C++, Java, INTERNs
|
Finance Jobs:
Accounting, INTERNS, Brokers, Invest
|
Legal, Lawyer Jobs:
Paralegals,
INTERNs,Law Firms
|
Medical, Nurse Jobs:
Doctors, INTERNs, Nurses, ER
|
Genetic, Science Jobs
Genetics, Research,
INTERNs, Labwork
|
|
|
Internet Search Results
What is the difference between SVC and SVM in scikit-learn?
They are just different implementations of the same algorithm. The SVM module (SVC, NuSVC, etc) is a wrapper around the libsvm library and supports different kernels while LinearSVC is based on liblinear and only supports a linear kernel. So: SVC(kernel = 'linear') is in theory "equivalent" to: LinearSVC()
When should one use LinearSVC or SVC? - Stack Overflow
Between SVC and LinearSVC, one important decision criterion is that LinearSVC tends to be faster to converge the larger the number of samples is. This is due to the fact that the linear kernel is a special case, which is optimized for in Liblinear, but not in Libsvm.
Scikit Learn SVC decision_function and predict - Stack Overflow
I don't fully understand your code, but let's go through the example in the documentation page you referenced:
c# - How do I generate the .svc file? - Stack Overflow
This model is similar to the way ASMX pages are represented inside of an IIS application as .asmx files. A .svc file contains a WCF-specific processing directive (@ServiceHost) that allows the WCF hosting infrastructure to activate hosted services in response to incoming messages.
What is the difference between LinearSVC and SVC(kernel="linear")?
LinearSVC uses the One-vs-All (also known as One-vs-Rest) multiclass reduction while SVC uses the One-vs-One multiclass reduction. It is also noted here. Also, for multi-class classification problem SVC fits N * (N - 1) / 2 models where N is the amount of classes. LinearSVC, by contrast, simply fits N models. If the classification problem is ...
How do I add a .svc file in Visual Studio - Stack Overflow
In my experience, an SVC file is a WCF service - create a WCF application from the projects list and then do an "Add new item" and add a new WCF service. For it to do anything it will need the appropriate bindings and endpoints configuring and wiring up - before it can be called. See also: WCF service. Where to add . svc file
scikit-learn: what is the difference between SVC and SGD?
SVC can perform non-linear classification by setting the kernel parameter to 'poly' , 'rbf'(default) svc = SVC(kernel='poly') svc = SVC(kernel='rbf') SGDClassifier uses gradient descent optimisation technique, where, the optimum coefficients are identified by iteration process.
SVM problem - name 'model_SVC' is not defined - Stack Overflow
The documentation is sklearn.svm.SVC. And when I choose this model, I'm mindful of the dataset size. And when I choose this model, I'm mindful of the dataset size. Extracted:
scikit learn - Making SVM run faster in python - Stack Overflow
SVM classifiers don't scale so easily. From the docs, about the complexity of sklearn.svm.SVC.. The fit time complexity is more than quadratic with the number of samples which makes it hard to scale to dataset with more than a couple of 10000 samples.
What is the difference between using a .svc file and hosting the WCF ...
An svc file is for when you're hosting within IIS (it can now host without these in .NET 4.0). Unless you have a reason to self host I'd strongly recommend sticking with IIS (WAS) as it provides so much of the hosting infrastructure for "free". UPDATE (11/16): Updated broken link to point to a comparative ASP.NET forums post.
|
|