Package | Description |
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jsat.classifiers.linear.kernelized | |
jsat.classifiers.svm |
Constructor and Description |
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CSKLRBatch(double eta,
KernelTrick kernel,
double R,
CSKLR.UpdateMode mode,
SupportVectorLearner.CacheMode cacheMode)
Creates a new SCKLR Batch learning object
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Modifier and Type | Method and Description |
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SupportVectorLearner.CacheMode |
SupportVectorLearner.getCacheMode()
Returns the current caching mode in use
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static SupportVectorLearner.CacheMode |
SupportVectorLearner.CacheMode.valueOf(String name)
Returns the enum constant of this type with the specified name.
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static SupportVectorLearner.CacheMode[] |
SupportVectorLearner.CacheMode.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
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Modifier and Type | Method and Description |
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void |
SupportVectorLearner.setCacheMode(SupportVectorLearner.CacheMode cacheMode)
Calling this sets the method of caching that will be used.
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Constructor and Description |
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LSSVM(KernelTrick kernel,
SupportVectorLearner.CacheMode cacheMode)
Creates a new LS-SVM learner
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PegasosK(double regularization,
int iterations,
KernelTrick kernel,
SupportVectorLearner.CacheMode cacheMode)
Creates a new kernelized Pegasos SVM solver
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SBP(KernelTrick kernel,
SupportVectorLearner.CacheMode cacheMode,
int iterations,
double v)
Creates a new SBP SVM learner
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SupportVectorLearner(KernelTrick kernel,
SupportVectorLearner.CacheMode cacheMode)
Creates a new Support Vector Learner
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