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java.lang.Objectorg.dmg.pmml.pmml_4_2.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_2}Extension" maxOccurs="unbounded" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}MiningSchema"/>
<element ref="{http://www.dmg.org/PMML-4_2}Output" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}ModelStats" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}ModelExplanation" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}Targets" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}LocalTransformations" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}RegressionTable" maxOccurs="unbounded"/>
<element ref="{http://www.dmg.org/PMML-4_2}ModelVerification" minOccurs="0"/>
<element ref="{http://www.dmg.org/PMML-4_2}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_2}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_2}FIELD-NAME" />
<attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_2}REGRESSIONNORMALIZATIONMETHOD" default="none" />
<attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" />
</restriction>
</complexContent>
</complexType>
| Field Summary | |
|---|---|
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 | |
|---|---|
RegressionModel()
|
|
| Method Summary | |
|---|---|
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 |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
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 |
|---|
public RegressionModel()
| Method Detail |
|---|
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
LocalTransformations
ModelExplanation
ModelVerification
Extension
Targets
Output
RegressionTable
ModelStats
MiningSchema
public String getModelName()
Stringpublic void setModelName(String value)
value - allowed object is
Stringpublic MININGFUNCTION getFunctionName()
MININGFUNCTIONpublic void setFunctionName(MININGFUNCTION value)
value - allowed object is
MININGFUNCTIONpublic String getAlgorithmName()
Stringpublic void setAlgorithmName(String value)
value - allowed object is
Stringpublic String getModelType()
Stringpublic void setModelType(String value)
value - allowed object is
Stringpublic String getTargetFieldName()
Stringpublic void setTargetFieldName(String value)
value - allowed object is
Stringpublic REGRESSIONNORMALIZATIONMETHOD getNormalizationMethod()
REGRESSIONNORMALIZATIONMETHODpublic void setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD value)
value - allowed object is
REGRESSIONNORMALIZATIONMETHODpublic boolean isIsScorable()
Booleanpublic void setIsScorable(Boolean value)
value - allowed object is
Boolean
|
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