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M /trunk/weka/src/main/java/weka/gui/LookAndFeel.java M /trunk/weka/src/main/java/weka/gui/beans/EnvironmentField.java M /trunk/weka/src/main/java/weka/gui/PackageManager.java M /trunk/weka/src/main/java/weka/gui/EnvironmentField.java
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M /trunk/weka/src/main/java/weka/gui/explorer/PreprocessPanel.javaįixed NPEs that occur on startup of GUIs when using the Nimbus look and feel M /trunk/weka/src/main/java/weka/gui/experiment/SimpleSetupPanel.java M /trunk/weka/src/main/java/weka/gui/experiment/SetupPanel.java M /trunk/weka/src/main/java/weka/gui/experiment/SetupModePanel.java M /trunk/weka/src/main/java/weka/gui/beans/BeanVisual.java M /trunk/weka/src/main/java/weka/gui/PropertySheetPanel.java Support for the consquence of a rule is now explicitly stored in ItemSet in order to prevent numerical problems stemming from reconstructing this from confidence, total support and lift when constructing the list of AssociationRule objects. M /trunk/weka/src/main/java/weka/associations/ItemSet.java M /trunk/weka/src/main/java/weka/associations/AprioriItemSet.java M /trunk/weka/src/main/java/weka/associations/Apriori.java User can specify how many pixels the chart is shifted by every time a point is plotted Now checks that points aren't set to missing value before plotting. M /trunk/weka/src/main/java/weka/gui/beans/StripChartBeanInfo.java M /trunk/weka/src/main/java/weka/gui/beans/StripChart.java R11998 | mhall | 14:04:54 +1200 (Fri, ) | 1 lineĬhanged version number props file back to 3.7.13 for mvn release
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M /trunk/weka/src/main/java/weka/core/version.txt Specified by: setOptions in interface OptionHandler Overrides: setOptions in class RandomizableClassifier Parameters: options - the options to parse Throws: - if parsing fails Version: $Revision: 10660 $ Author: Yasser EL-Manzalawy, FracPete (fracpete at waikato dot ac dot nz) See Also: LibSVMLoader, Generate probability estimates for classification Set the parameters C of class i to weight*C, for C-SVCĮ.g., for a 3-class problem, you could use "1 1 1" for equally Turns the shrinking heuristics off (default: on) Set tolerance of termination criterion (default: 0.001) Set cache memory size in MB (default: 40) Set the epsilon in loss function of epsilon-SVR (default: 0.1) WARNING: use only if your data has no missing values. WARNING: use only if your data is all numeric! Turns on normalization of input data (default: off) Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR Set the parameter C of C-SVC, epsilon-SVR, and nu-SVR Set coef0 in kernel function (default: 0) Set gamma in kernel function (default: 1/k) Set degree in kernel function (default: 3) Note = ,ġ = polynomial: (gamma*u'*v + coef0)^degreeĢ = radial basis function: exp(-gamma*|u-v|^2) LibSVM classifier (e.g., confusion matrix,precision, recall, ROC score,Ĭhih-Chung Chang, Chih-Jen Lin (2001). LibSVM reports many useful statistics about LibSVM allows users to experiment with One-class SVM, Regressing SVM, and LibSVM runs faster than SMO since it uses LibSVM to build the SVM classifier. A wrapper class for the libsvm tools (the libsvmĬlasses, typically the jar file, need to be in the classpath to use this