| Interface | Description |
|---|---|
| LibSvmKernel |
Implemented by all kernels available for the
LibSvmPredictor. |
| Class | Description |
|---|---|
| LibSvmClassifier |
A wrapper classifier for the LIBSVM machine learning library.
|
| LibSvmLearner |
A wrapper classifier for the LIBSVM machine learning library.
|
| LibSvmModel | |
| LinearKernel |
An SVM kernel using a linear base function.
|
| RBFKernel |
A LibSvm kernel using a gaussian basis function.
|
| SelfTuningLibSvmLearner |
Performs a tuning on the penalty parameter C and gamma for the
LibSvmLearner by applying a k-fold cross validation, as suggested in
"A Practical Guide to Support Vector Classification", Chih-Wei Hsu,
Chih-Chung Chang, and Chih-Jen Lin, 2010. |
| WekaClassifier |
Classifier wrapper for Weka.
|
| WekaLearner |
Learner wrapper for Weka classifiers.
|
| WekaModel |
A Palladian model wrapping a Weka classifier and all information necessary to apply that classifier.
|
Copyright © 2018. All rights reserved.