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| Packages that use weka.classifiers.functions.supportVector | |
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| weka.classifiers.functions | |
| weka.classifiers.functions.supportVector | |
| weka.filters.unsupervised.attribute | |
| Classes in weka.classifiers.functions.supportVector used by weka.classifiers.functions | |
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| Kernel
Abstract kernel. |
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| RegOptimizer
Base class implementation for learning algorithm of SMOreg Valid options are: |
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| Classes in weka.classifiers.functions.supportVector used by weka.classifiers.functions.supportVector | |
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| CachedKernel
Base class for RBFKernel and PolyKernel that implements a simple LRU. |
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| Kernel
Abstract kernel. |
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| PolyKernel
The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p Valid options are: |
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| RegOptimizer
Base class implementation for learning algorithm of SMOreg Valid options are: |
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| RegSMO
Implementation of SMO for support vector regression as described in : A.J. |
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| Classes in weka.classifiers.functions.supportVector used by weka.filters.unsupervised.attribute | |
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| Kernel
Abstract kernel. |
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