Package weka.core.pmml.jaxbbindings

Class PredictiveModelQuality

java.lang.Object
weka.core.pmml.jaxbbindings.PredictiveModelQuality
public class PredictiveModelQuality extends Object

Java class for PredictiveModelQuality element declaration.

The following schema fragment specifies the expected content contained within this class. 

 <element name="PredictiveModelQuality">
   <complexType>
     <complexContent>
       <restriction base="{http://www.w3.org/2001/XMLSchema}anyType">
         <sequence>
           <element ref="{http://www.dmg.org/PMML-4_1}Extension" maxOccurs="unbounded" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}ConfusionMatrix" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}LiftData" minOccurs="0"/>
           <element ref="{http://www.dmg.org/PMML-4_1}ROC" minOccurs="0"/>
         </sequence>
         <attribute name="AIC" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="AICc" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="BIC" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="adj-r-squared" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="dataName" type="{http://www.w3.org/2001/XMLSchema}string" />
         <attribute name="dataUsage" default="training">
           <simpleType>
             <restriction base="{http://www.w3.org/2001/XMLSchema}string">
               <enumeration value="training"/>
               <enumeration value="test"/>
               <enumeration value="validation"/>
             </restriction>
           </simpleType>
         </attribute>
         <attribute name="degreesOfFreedom" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="fStatistic" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanAbsoluteError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="meanSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfPredictors" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfRecords" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="numOfRecordsWeighted" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="r-squared" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="rootMeanSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="sumSquaredError" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="sumSquaredRegression" type="{http://www.dmg.org/PMML-4_1}NUMBER" />
         <attribute name="targetField" use="required" type="{http://www.w3.org/2001/XMLSchema}string" />
       </restriction>
     </complexContent>
   </complexType>
 </element>

  • Constructor Details

    • PredictiveModelQuality

      public PredictiveModelQuality()

  • Method Details

    • getExtension

      public List<Extension> getExtension()
      Gets the value of the extension property.

      This accessor method returns a reference to the live list, not a snapshot. Therefore any modification you make to the returned list will be present inside the JAXB object. This is why there is not a set method for the extension property.

      For example, to add a new item, do as follows: 

          getExtension().add(newItem);

      Objects of the following type(s) are allowed in the list Extension

    • getConfusionMatrix

      public ConfusionMatrix getConfusionMatrix()
      Gets the value of the confusionMatrix property.
      Returns:
      possible object is ConfusionMatrix

    • setConfusionMatrix

      public void setConfusionMatrix(ConfusionMatrix value)
      Sets the value of the confusionMatrix property.
      Parameters:
      value - allowed object is ConfusionMatrix

    • getLiftData

      public LiftData getLiftData()
      Gets the value of the liftData property.
      Returns:
      possible object is LiftData

    • setLiftData

      public void setLiftData(LiftData value)
      Sets the value of the liftData property.
      Parameters:
      value - allowed object is LiftData

    • getROC

      public ROC getROC()
      Gets the value of the roc property.
      Returns:
      possible object is ROC

    • setROC

      public void setROC(ROC value)
      Sets the value of the roc property.
      Parameters:
      value - allowed object is ROC

    • getAIC

      public Double getAIC()
      Gets the value of the aic property.
      Returns:
      possible object is Double

    • setAIC

      public void setAIC(Double value)
      Sets the value of the aic property.
      Parameters:
      value - allowed object is Double

    • getAICc

      public Double getAICc()
      Gets the value of the aiCc property.
      Returns:
      possible object is Double

    • setAICc

      public void setAICc(Double value)
      Sets the value of the aiCc property.
      Parameters:
      value - allowed object is Double

    • getBIC

      public Double getBIC()
      Gets the value of the bic property.
      Returns:
      possible object is Double

    • setBIC

      public void setBIC(Double value)
      Sets the value of the bic property.
      Parameters:
      value - allowed object is Double

    • getAdjRSquared

      public Double getAdjRSquared()
      Gets the value of the adjRSquared property.
      Returns:
      possible object is Double

    • setAdjRSquared

      public void setAdjRSquared(Double value)
      Sets the value of the adjRSquared property.
      Parameters:
      value - allowed object is Double

    • getDataName

      public String getDataName()
      Gets the value of the dataName property.
      Returns:
      possible object is String

    • setDataName

      public void setDataName(String value)
      Sets the value of the dataName property.
      Parameters:
      value - allowed object is String

    • getDataUsage

      public String getDataUsage()
      Gets the value of the dataUsage property.
      Returns:
      possible object is String

    • setDataUsage

      public void setDataUsage(String value)
      Sets the value of the dataUsage property.
      Parameters:
      value - allowed object is String

    • getDegreesOfFreedom

      public Double getDegreesOfFreedom()
      Gets the value of the degreesOfFreedom property.
      Returns:
      possible object is Double

    • setDegreesOfFreedom

      public void setDegreesOfFreedom(Double value)
      Sets the value of the degreesOfFreedom property.
      Parameters:
      value - allowed object is Double

    • getFStatistic

      public Double getFStatistic()
      Gets the value of the fStatistic property.
      Returns:
      possible object is Double

    • setFStatistic

      public void setFStatistic(Double value)
      Sets the value of the fStatistic property.
      Parameters:
      value - allowed object is Double

    • getMeanAbsoluteError

      public Double getMeanAbsoluteError()
      Gets the value of the meanAbsoluteError property.
      Returns:
      possible object is Double

    • setMeanAbsoluteError

      public void setMeanAbsoluteError(Double value)
      Sets the value of the meanAbsoluteError property.
      Parameters:
      value - allowed object is Double

    • getMeanError

      public Double getMeanError()
      Gets the value of the meanError property.
      Returns:
      possible object is Double

    • setMeanError

      public void setMeanError(Double value)
      Sets the value of the meanError property.
      Parameters:
      value - allowed object is Double

    • getMeanSquaredError

      public Double getMeanSquaredError()
      Gets the value of the meanSquaredError property.
      Returns:
      possible object is Double

    • setMeanSquaredError

      public void setMeanSquaredError(Double value)
      Sets the value of the meanSquaredError property.
      Parameters:
      value - allowed object is Double

    • getNumOfPredictors

      public Double getNumOfPredictors()
      Gets the value of the numOfPredictors property.
      Returns:
      possible object is Double

    • setNumOfPredictors

      public void setNumOfPredictors(Double value)
      Sets the value of the numOfPredictors property.
      Parameters:
      value - allowed object is Double

    • getNumOfRecords

      public Double getNumOfRecords()
      Gets the value of the numOfRecords property.
      Returns:
      possible object is Double

    • setNumOfRecords

      public void setNumOfRecords(Double value)
      Sets the value of the numOfRecords property.
      Parameters:
      value - allowed object is Double

    • getNumOfRecordsWeighted

      public Double getNumOfRecordsWeighted()
      Gets the value of the numOfRecordsWeighted property.
      Returns:
      possible object is Double

    • setNumOfRecordsWeighted

      public void setNumOfRecordsWeighted(Double value)
      Sets the value of the numOfRecordsWeighted property.
      Parameters:
      value - allowed object is Double

    • getRSquared

      public Double getRSquared()
      Gets the value of the rSquared property.
      Returns:
      possible object is Double

    • setRSquared

      public void setRSquared(Double value)
      Sets the value of the rSquared property.
      Parameters:
      value - allowed object is Double

    • getRootMeanSquaredError

      public Double getRootMeanSquaredError()
      Gets the value of the rootMeanSquaredError property.
      Returns:
      possible object is Double

    • setRootMeanSquaredError

      public void setRootMeanSquaredError(Double value)
      Sets the value of the rootMeanSquaredError property.
      Parameters:
      value - allowed object is Double

    • getSumSquaredError

      public Double getSumSquaredError()
      Gets the value of the sumSquaredError property.
      Returns:
      possible object is Double

    • setSumSquaredError

      public void setSumSquaredError(Double value)
      Sets the value of the sumSquaredError property.
      Parameters:
      value - allowed object is Double

    • getSumSquaredRegression

      public Double getSumSquaredRegression()
      Gets the value of the sumSquaredRegression property.
      Returns:
      possible object is Double

    • setSumSquaredRegression

      public void setSumSquaredRegression(Double value)
      Sets the value of the sumSquaredRegression property.
      Parameters:
      value - allowed object is Double

    • getTargetField

      public String getTargetField()
      Gets the value of the targetField property.
      Returns:
      possible object is String

    • setTargetField

      public void setTargetField(String value)
      Sets the value of the targetField property.
      Parameters:
      value - allowed object is String