程序包 weka.filters

类 SimpleStreamFilter

所有已实现的接口:
Serializable, CapabilitiesHandler, OptionHandler, RevisionHandler, StreamableFilter
直接已知子类:
ClassAssigner, MultiFilter, NumericCleaner, RandomSubset

public abstract class SimpleStreamFilter extends SimpleFilter implements StreamableFilter
This filter is a superclass for simple stream filters.

General notes:

  • After the first call of batchFinished() the field m_FirstBatchDone is set to true.

Example:
The following code snippet uses the filter SomeFilter on a dataset that is loaded from filename.

 import weka.core.*;
 import weka.filters.*;
 import java.io.*;
 ...
 SomeFilter filter = new SomeFilter();
 // set necessary options for the filter
 Instances data = new Instances(
                    new BufferedReader(
                      new FileReader(filename)));
 Instances filteredData = Filter.useFilter(data, filter);
 
Implementation:
Only the following abstract methods need to be implemented:
  • globalInfo()
  • determineOutputFormat(Instances)
  • process(Instance)

And the getCapabilities() method must return what kind of attributes and classes the filter can handle.

If more options are necessary, then the following methods need to be overriden:

  • listOptions()
  • setOptions(String[])
  • getOptions()

To make the filter available from commandline one must add the following main method for correct execution (<Filtername> must be replaced with the actual filter classname):

  public static void main(String[] args) {
    runFilter(new <Filtername>(), args);
  }
 

Example implementation:

 import weka.core.*;
 import weka.core.Capabilities.*;
 import weka.filters.*;

 import java.util.Random;
 
 public class SimpleStream
   extends SimpleStreamFilter {
   
   public String globalInfo() {
     return "A simple stream filter that adds an attribute 'bla' at the end containing a random number.";
   }
     
   public Capabilities getCapabilities() {
     Capabilities result = super.getCapabilities();
     result.enableAllAttributes();
     result.enableAllClasses();
     result.enable(Capability.NO_CLASS);  // filter doesn't need class to be set
     return result;
   }
 
   protected Instances determineOutputFormat(Instances inputFormat) {
     Instances result = new Instances(inputFormat, 0);
     result.insertAttributeAt(new Attribute("bla"), result.numAttributes());
     return result;
   }
 
   protected Instance process(Instance inst) {
     double[] values = new double[inst.numAttributes() + 1];
     for (int n = 0; n < inst.numAttributes(); n++)
       values[n] = inst.value(n);
     values[values.length - 1] = new Random().nextInt();
     Instance result = new Instance(1, values);
     return result;
   }
 
   public static void main(String[] args) {
     runFilter(new SimpleStream(), args);
   }
 }
 

Options:
Valid filter-specific options are:

-D
Turns on output of debugging information.

版本:
$Revision: 9718 $
作者:
FracPete (fracpete at waikato dot ac dot nz)
另请参阅:
  • 构造器详细资料

    • SimpleStreamFilter

      public SimpleStreamFilter()
  • 方法详细资料

    • input

      public boolean input(Instance instance) throws Exception
      Input an instance for filtering. Filter requires all training instances be read before producing output.
      覆盖:
      input 在类中 Filter
      参数:
      instance - the input instance
      返回:
      true if the filtered instance may now be collected with output().
      抛出:
      IllegalStateException - if no input structure has been defined
      Exception - if something goes wrong
    • batchFinished

      public boolean batchFinished() throws Exception
      Signify that this batch of input to the filter is finished. If the filter requires all instances prior to filtering, output() may now be called to retrieve the filtered instances. Any subsequent instances filtered should be filtered based on setting obtained from the first batch (unless the setInputFormat has been re-assigned or new options have been set).
      覆盖:
      batchFinished 在类中 Filter
      返回:
      true if there are instances pending output
      抛出:
      IllegalStateException - if no input format has been set.
      NullPointerException - if no input structure has been defined,
      Exception - if there was a problem finishing the batch.