Examples of weka.core.DenseInstance

weka.core.DenseInstance
te empty instance with three attribute values
Instance inst = new DenseInstance(3);

// Set instance's values for the attributes "length", "weight", and "position"
inst.setValue(length, 5.3);
inst.setValue(weight, 300);
inst.setValue(position, "first");

// Set instance's dataset to be the dataset "race"
inst.setDataset(race);

// Print the instance
System.out.println("The instance: " + inst);
...

All methods that change an instance's attribute values are safe, ie. a change of an instance's attribute values does not affect any other instances. All methods that change an instance's attribute values clone the attribute value vector before it is changed. If your application heavily modifies instance values, it may be faster to create a new instance from scratch. @author Eibe Frank (eibe@cs.waikato.ac.nz) @version $Revision: 5987 $


      // generate and add instance
      if (inst instanceof SparseInstance)
  newInst = new SparseInstance(instances.instance(i).weight(), values);
      else
  newInst = new DenseInstance(instances.instance(i).weight(), values);
      result.add(newInst);
    }


    return result;
  }

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          else {
            values[i] = toPredict.value(i-1);
          }
        }


        m_PlotInstances.add(new DenseInstance(1.0, values));
        
        if (toPredict.classAttribute().isNominal()) {
          if (toPredict.isMissing(toPredict.classIndex()) || Utils.isMissingValue(pred)) {
            m_PlotShapes.addElement(new Integer(Plot2D.MISSING_SHAPE));
          }

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    values[m_PlotInstances.numAttributes() + n*3 + 1] = Utils.missingValue();
    values[m_PlotInstances.numAttributes() + n*3 + 2] = Utils.missingValue();
  }
      }
      // create new Instance
      newInst = new DenseInstance(inst.weight(), values);
      data.add(newInst);
    }
    
    m_PlotInstances = data;
  }

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      }
      Instance newInst;
      if (m_CreateSparseData) {
  newInst = new SparseInstance(1.0, vals);
      } else {
  newInst = new DenseInstance(1.0, vals);
      }
      instances.addElement(newInst);
      rowCount++;
    }
    //disconnectFromDatabase();  (perhaps other queries might be made)

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    newInst[0] = (double) data.attribute(0).addStringValue(txtStr.toString());
    if (m_OutputFilename)
      newInst[1] = (double) data.attribute(1).addStringValue(subdirPath + File.separator + files[j]);
    newInst[data.classIndex()] = (double) k;
    data.add(new DenseInstance(1.0, newInst));
          is.close();
  }
  catch (Exception e) {
    System.err.println("failed to convert file: " + directoryPath + File.separator + subdirPath + File.separator + files[j]);
  }

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  System.err.println("Error parsing value #" + (index+1) + ": " + e.toString());
  return null;
      }
    }


    result = new DenseInstance(weight, vals);
    result.setDataset(data);
      
    return result;
  }

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  default:
    vals[i - 1] = Utils.missingValue();
  }
      }
      Instance newInst;
      newInst = new DenseInstance(1.0, vals);
      instances.add(newInst);
    }   
    
    // Create the header and add the instances to the dataset
    //System.err.println("Creating header...");

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          break;
  default:
    vals[i - 1] = Utils.missingValue();
  }
      }
       Instance inst = new DenseInstance(1.0, vals);
       //get rid of m_idColumn
       if(m_DataBaseConnection.getUpperCase())
              m_idColumn = m_idColumn.toUpperCase();
       if(m_structure.attribute(0).name().equals(m_idColumn)){
            inst.deleteAttributeAt(0);
            m_oldStructure.add(inst);
            inst = m_oldStructure.instance(0);
            m_oldStructure.delete(0);
       }
       else{

View Full Code Here

    String    field;


    result = new StringBuffer();
    
    if (inst instanceof SparseInstance) {
      outInst = new DenseInstance(inst.weight(), inst.toDoubleArray());
      outInst.setDataset(inst.dataset());
    }
    else {
      outInst = inst;
    }

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          weight = 1.0;
        }
      }
        
      // Add instance to dataset
      Instance inst = new DenseInstance(weight, instance);
      inst.setDataset(m_Data);
      
      return inst;
    }

View Full Code Here

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