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    • weka.gui.beans.templates.learnAndSaveModel.kfml Maven / Gradle / Ivy

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    The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

    There is a newer version: 3.9.6
    Show newest version
    


   
   
   
      
   
   
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         0
         112
         114
         ArffLoader
         
            
               weka/gui/beans/templates/credit-g.arff
               false
            
            
               true
               
            
         
      
      
         1
         272
         114
         ClassAssigner
         
            last
         
      
      
         2
         112
         197
         
            Double click to configure me
with an ARFF file
            
            -1
         
      
      
         3
         283
         204
         
            Double click to
specify the class
attribute
            
            -1
         
      
      
         4
         314
         329
         J48
         
            
               false
               
                  -C
                  0.25
                  -M
                  2
                  
                  
                  
                  
                  
                  
                  
                  
                  
                  
                  
                  
               
            
            false
            2
         
      
      
         5
         472
         114
         TrainingSetMaker
         
            
            
               
               TrainingSetMaker
               weka/gui/beans/icons/TrainingSetMaker.gif
               weka/gui/beans/icons/TrainingSetMaker_animated.gif
            
            TrainingSetMaker
         
      
      
         6
         554
         329
         SerializedModelSaver
         
            ${user.home}
            
            false
            
               
               SerializedModelSaver
               weka/gui/beans/icons/SerializedModelSaver.gif
               weka/gui/beans/icons/SerializedModelSaver_animated.gif
            
            SerializedModelSaver
            exampleModel
            
               0
               
               Binary serialized model file (*model)
            
            false
         
      
      
         7
         74
         329
         TextViewer
         
            
            
               true
               
            
            
               
               TextViewer
               weka/gui/beans/icons/DefaultText.gif
               weka/gui/beans/icons/DefaultText_animated.gif
            
            TextViewer
         
      
      
         8
         579
         117
         
            Make the dataset into
a training set
            
            -1
         
      
      
         9
         322
         411
         
            Learn a decision tree
(double click to configure
options)
            
            -1
         
      
      
         10
         672
         336
         
            Double click to configure
a filename prefix and
directory to save the
model to
            
            -1
         
      
      
         11
         84
         407
         
            Collects the textual
description of the
model.
            
            -1
         
      
      
         12
         385
         32
         
            <html><b>NOTE: this flow is configured to run out of the box.</b> It loads an ARFF file as a resource from the classpath. If you want 
to use your own data, edit the ArffLoader. The model is saved as "exampleModelJ48_1_1.model" to your home directory
(Java property "user.home").</html>
            
            -1
         
      
   
   
      
         0
         1
         dataSet
         false
      
      
         1
         5
         dataSet
         false
      
      
         5
         4
         trainingSet
         false
      
      
         4
         6
         batchClassifier
         false
      
      
         4
         7
         text
         false
      
   

    
    
    
    

    




    
    
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