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java.lang.Objectedu.udo.cs.miningmart.operator.ExecutableOperator
edu.udo.cs.miningmart.operator.FeatureConstruction
edu.udo.cs.miningmart.operator.MissingValues
edu.udo.cs.miningmart.operator.MissingValuesWithRegressionSVM
The class MissingValuesWithRegressionSVM implements the abstract methods createFunction and defineOutputDatatype (from class AttributeOperator). The class uses instances of class Print. The class calls an external wrapper for calling the learning tool SupportVectorMachine.
Constructor Summary | |
MissingValuesWithRegressionSVM()
|
Method Summary | |
java.lang.String |
generateValueForOp(Column columnWithMissingValues)
Generates a sql-function to describe a new column. |
java.lang.String |
getC()
Gets the c. |
protected java.lang.String |
getDatabaseSchema()
|
java.lang.String |
getEpsilon()
Gets the epsilon. |
java.lang.String |
getKernelType()
Gets the kernelType. |
BaseAttribute |
getKey()
Gets the optional parameter 'TheKey'. |
java.lang.String |
getLossFunctionNeg()
Gets the lossFunctionNeg. |
java.lang.String |
getLossFunctionPos()
Gets the lossFunctionPos. |
long |
getSampleSize()
Gets the sampleSize. |
BaseAttribute[] |
getThePredictingAttributes()
Gets ThePredictingAttributes. |
void |
setToDatabaseSVM()
When this method is called before generateSQL() ,
this operator will use mySVM/db, otherwise mySVM. |
void |
setToStandardSVM()
When this method is called before generateSQL() ,
this operator will use mySVM. |
Methods inherited from class edu.udo.cs.miningmart.operator.MissingValues |
generateSQL |
Methods inherited from class edu.udo.cs.miningmart.operator.FeatureConstruction |
compileStatement, createStatement, estimateStatistics, execute, generateColumnForOp, getCurrentLoopNumber, getTheInputConcept, getTheOutputAttribute, getTheOutputAttribute, getTheTargetAttribute, getTheTargetAttribute, load, writeResults |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public MissingValuesWithRegressionSVM()
Method Detail |
public java.lang.String generateValueForOp(Column columnWithMissingValues) throws M4CompilerError
generateValueForOp
in class MissingValues
columnWithMissingValues
- The Column which has some missing values.
M4CompilerError
- A simple exception object with an error message.protected java.lang.String getDatabaseSchema() throws M4CompilerError
M4CompilerError
public java.lang.String getC() throws M4CompilerError
M4CompilerError
public java.lang.String getEpsilon() throws M4CompilerError
M4CompilerError
public java.lang.String getKernelType() throws M4CompilerError
M4CompilerError
public java.lang.String getLossFunctionNeg() throws M4CompilerError
M4CompilerError
public java.lang.String getLossFunctionPos() throws M4CompilerError
M4CompilerError
public long getSampleSize() throws M4CompilerError
long
M4CompilerError
public BaseAttribute[] getThePredictingAttributes() throws M4CompilerError
M4CompilerError
public BaseAttribute getKey() throws M4CompilerError
null
M4CompilerError
public void setToDatabaseSVM()
generateSQL()
,
this operator will use mySVM/db, otherwise mySVM.
public void setToStandardSVM()
generateSQL()
,
this operator will use mySVM.
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