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Questions tagged [svmlight]

SVMLight is an implementation of a Support Vector Machine - supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.

The main features of the program are the the following:

  • fast optimization algorithm
    • working set selection based on steepest feasible descent
    • "shrinking" heuristic
    • caching of kernel evaluations
    • use of folding in the linear case
  • solves classification and regression problems. For multivariate and structured outputs use SVMstruct.
  • solves ranking problems (e. g. learning retrieval functions in STRIVER search engine).
  • computes XiAlpha-estimates of the error rate, the precision, and the recall
  • efficiently computes Leave-One-Out estimates of the error rate, the precision, and the recall
  • includes algorithm for approximately training large transductive SVMs (TSVMs) (see also Spectral Graph Transducer)
  • can train SVMs with cost models and example dependent costs
  • allows restarts from specified vector of dual variables
  • handles many thousands of support vectors
  • handles several hundred-thousands of training examples
  • supports standard kernel functions and lets you define your own
  • uses sparse vector representation
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parsing pdb for support vector machine

I am working on SVM (support vector machine) using python. My input is pdb file. I have seen number of examples in which dataset is taken. But, in my case, I want to parse 3d structure of protien (.pdb file). How Can I get the svm from pdb?
sam
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SVMlight - what is the purpose of finding the weight vector?

The SVMlight site (in the FAQ) offers a script that computes the weight vector of a hyperlane. It says it "computes the weighted sum of the support vectors". What does this mean? That is, what does the script do and what is the meaning and use of…
Cheshie
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Python file format for email classification with svm-light

I am working with email subject, so I have 20 emails i want to classify, and a file with 20 lines - one line has one email subject.I have been working on it, but I am unable to figure out what the features refer to and the format of the input file…
student001
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Why my SVM-Light could not work properly?

What I'm using is from this page:http://svmlight.joachims.org/ Mac OS X (new): http://download.joachims.org/svm_light/current/svm_light_osx.8.4_i7.tar.gz After installed as the instructions, I jumped into his example: Inductive SVM (documents are on…
Tong Liu
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SVM: Combining the individual scores for each parameter by training SVM

Hello all machine learning experts, I am naive in machine learning topics. My data have six features(6 regular attributes) and 2 labels(1 special attribute)(true and false)(hope I used right term). I want to combine those features which has to be…
Paul85
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Libsvm model file format No model number

I am using libsvm for document classification. I use svm.cc and svm.h in my project. I then call svm_train. I save the model in a file using svm_save_model. I have there categories. The svm model file is: svm_type c_svc kernel_type rbf gamma…
Ashish Negi
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Train and Test file for SVM light

I am trying to use SVM for a text classification problem. I have found an SVM implementation called SVM light and its derivative SVM multiclass (for classification problems with more than 2 classes). However I am really not able to understand the…
ritesh
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Performance SVMlight Multilabel Classificaiton (Features: 1000)

I am currently working on a multi-label classification. As classifier I use SVMlight and binarized the multi-label problem. That means in my case more than 1000 classification runs. I have a fixed feature size of 1000, the training of the models…
jobooo
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