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java.lang.Objectorg.dmg.pmml.pmml_4_1.descr.RegressionModel
public class RegressionModel
Java class for anonymous complex type.
The following schema fragment specifies the expected content contained within this class.
<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}MiningSchema"/> <element ref="{http://www.dmg.org/PMML-4_1}Output" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}ModelStats" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}ModelExplanation" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}Targets" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}LocalTransformations" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}RegressionTable" maxOccurs="unbounded"/> <element ref="{http://www.dmg.org/PMML-4_1}ModelVerification" minOccurs="0"/> <element ref="{http://www.dmg.org/PMML-4_1}Extension" maxOccurs="unbounded" minOccurs="0"/> </sequence> <attribute name="modelName" type="{http://www.w3.org/2001/XMLSchema}string" /> <attribute name="functionName" use="required" type="{http://www.dmg.org/PMML-4_1}MINING-FUNCTION" /> <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" /> <attribute name="modelType"> <simpleType> <restriction base="{http://www.w3.org/2001/XMLSchema}string"> <enumeration value="linearRegression"/> <enumeration value="stepwisePolynomialRegression"/> <enumeration value="logisticRegression"/> </restriction> </simpleType> </attribute> <attribute name="targetFieldName" type="{http://www.dmg.org/PMML-4_1}FIELD-NAME" /> <attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_1}REGRESSIONNORMALIZATIONMETHOD" default="none" /> <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" /> </restriction> </complexContent> </complexType>
Field Summary | |
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protected String |
algorithmName
|
protected List<Serializable> |
extensionsAndRegressionTablesAndMiningSchemas
|
protected MININGFUNCTION |
functionName
|
protected Boolean |
isScorable
|
protected String |
modelName
|
protected String |
modelType
|
protected REGRESSIONNORMALIZATIONMETHOD |
normalizationMethod
|
protected String |
targetFieldName
|
Constructor Summary | |
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RegressionModel()
|
Method Summary | |
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String |
getAlgorithmName()
Gets the value of the algorithmName property. |
List<Serializable> |
getExtensionsAndRegressionTablesAndMiningSchemas()
Gets the value of the extensionsAndRegressionTablesAndMiningSchemas property. |
MININGFUNCTION |
getFunctionName()
Gets the value of the functionName property. |
String |
getModelName()
Gets the value of the modelName property. |
String |
getModelType()
Gets the value of the modelType property. |
REGRESSIONNORMALIZATIONMETHOD |
getNormalizationMethod()
Gets the value of the normalizationMethod property. |
String |
getTargetFieldName()
Gets the value of the targetFieldName property. |
boolean |
isIsScorable()
Gets the value of the isScorable property. |
void |
setAlgorithmName(String value)
Sets the value of the algorithmName property. |
void |
setFunctionName(MININGFUNCTION value)
Sets the value of the functionName property. |
void |
setIsScorable(Boolean value)
Sets the value of the isScorable property. |
void |
setModelName(String value)
Sets the value of the modelName property. |
void |
setModelType(String value)
Sets the value of the modelType property. |
void |
setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD value)
Sets the value of the normalizationMethod property. |
void |
setTargetFieldName(String value)
Sets the value of the targetFieldName property. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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protected List<Serializable> extensionsAndRegressionTablesAndMiningSchemas
protected String modelName
protected MININGFUNCTION functionName
protected String algorithmName
protected String modelType
protected String targetFieldName
protected REGRESSIONNORMALIZATIONMETHOD normalizationMethod
protected Boolean isScorable
Constructor Detail |
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public RegressionModel()
Method Detail |
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public List<Serializable> getExtensionsAndRegressionTablesAndMiningSchemas()
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 extensionsAndRegressionTablesAndMiningSchemas property.
For example, to add a new item, do as follows:
getExtensionsAndRegressionTablesAndMiningSchemas().add(newItem);
Objects of the following type(s) are allowed in the list
ModelExplanation
RegressionTable
Output
LocalTransformations
Extension
ModelStats
Targets
MiningSchema
ModelVerification
public String getModelName()
String
public void setModelName(String value)
value
- allowed object is
String
public MININGFUNCTION getFunctionName()
MININGFUNCTION
public void setFunctionName(MININGFUNCTION value)
value
- allowed object is
MININGFUNCTION
public String getAlgorithmName()
String
public void setAlgorithmName(String value)
value
- allowed object is
String
public String getModelType()
String
public void setModelType(String value)
value
- allowed object is
String
public String getTargetFieldName()
String
public void setTargetFieldName(String value)
value
- allowed object is
String
public REGRESSIONNORMALIZATIONMETHOD getNormalizationMethod()
REGRESSIONNORMALIZATIONMETHOD
public void setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD value)
value
- allowed object is
REGRESSIONNORMALIZATIONMETHOD
public boolean isIsScorable()
Boolean
public void setIsScorable(Boolean value)
value
- allowed object is
Boolean
|
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