예제 #1
0
 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public LWL Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }
예제 #2
0
 /// <summary>
 ///
 /// </summary>
 public SerializedClassifier Model(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> value)
 {
     Impl.setModel(value.Impl);
     return(this);
 }
예제 #3
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 /// <summary>
 /// The meta classifiers to be used.
 /// </summary>
 public Stacking MetaClassifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> classifier)
 {
     Impl.setMetaClassifier(classifier.Impl);
     return(this);
 }
예제 #4
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 /// <summary>
 /// The classifier to use for classification.
 /// </summary>
 public AddClassification Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> value)
 {
     Impl.setClassifier(value.Impl);
     return(this);
 }
예제 #5
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 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public MultiClassClassifierUpdateable Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }
예제 #6
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 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public RegressionByDiscretization Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }
예제 #7
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 /// <summary>
 /// The classifier upon which to base the misclassifications.
 /// </summary>
 public RemoveMisclassified Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> classifier)
 {
     Impl.setClassifier(classifier.Impl);
     return(this);
 }
예제 #8
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 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public AttributeSelectedClassifier Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }
예제 #9
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 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public CVParameterSelection Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }
예제 #10
0
 /// <summary>
 /// The base classifier to be used.
 /// </summary>
 public AdditiveRegression Classifier(PicNetML.Clss.IBaseClassifier <weka.classifiers.Classifier> newClassifier)
 {
     Impl.setClassifier(newClassifier.Impl);
     return(this);
 }