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New settings to export phone tile sizes and splash screen. Great for Universal Apps! Thanks templarian and aarontt for using Vector! Update: Added the ability to include the background color in the image for store logo. Also, added hex colors in the color picker. Stay informed about special deals, the latest products, events, and more from Microsoft Store.
Available to United States residents. By clicking sign up, I agree that I would like information, tips, and offers about Microsoft Store and other Microsoft products and services. Privacy Statement. See System Requirements. Available on PC Mobile device Hub. Description Vector is for Windows and Windows Phone app developers. People also like. Please contact me, if you are planning to use the software for commercial purposes.
The software must not be further distributed without prior permission of the author. If you use SVM light in your scientific work, please cite as. I would also appreciate, if you sent me a link to your papers so that I can learn about your research.
The implementation was developed on Solaris 2. The source code is available at the following location:. Please send me email and let me know that you got svm-light.
I will put you on my mailing list to inform you about new versions and bug-fixes. SVM light comes with a quadratic programming tool for solving small intermediate quadratic programming problems.
It is based on the method of Hildreth and D'Espo and solves small quadratic programs very efficiently. Create a new directory:. This section explains how to use the SVM light software. The classification module can be used to apply the learned model to new examples. A more detailed description of the parameters and how they link to the respective algorithms is given in the appendix of [ Joachims, a ]. The first lines may contain comments and are ignored if they start with.
Each of the following lines represents one training example and is of the following format:. Features with value zero can be skipped. Check the FAQ for more details on how to implement your own kernel. In classification mode, the target value denotes the class of the example. So, for example, the line. In addition, the string abcdef is stored with the vector, which can serve as a way of providing additional information for user defined kernels. A class label of 0 indicates that this example should be classified using transduction.
The predictions for the examples classified by transduction are written to the file specified through the -l option. The order of the predictions is the same as in the training data. The special feature "qid" can be used to restrict the generation of constraints. Two examples are considered for a pairwise preference constraint only, if the value of "qid" is the same. For classification, the sign of this value determines the predicted class.
For regression, it is the predicted value itself, and for ranking the value can be used to order the test examples. This will create a subdirectory example1.
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