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SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--oracle.dmt.odm.MiningObject | +--oracle.dmt.odm.LocatableObject | +--oracle.dmt.odm.settings.function.MiningFunctionSettings | +--oracle.dmt.odm.settings.function.SupervisedFunctionSettings
SupervisedFunctionSettings
describes settings for supervised learning functions.
Currently, ODM supports only classification.
Constructor Summary |
SupervisedFunctionSettings(float accuracy,
LogicalDataSpecification lds,
DataUsageSpecification dus,
MiningFunction function)
Deprecated. As of ODM 9.2.0. The parameter accuracy is not used. Use
other constructor without accuracy parameter. |
SupervisedFunctionSettings(float accuracy,
LogicalDataSpecification lds,
DataUsageSpecification dus,
MiningFunction function,
MiningAlgorithmSettings algorithm)
Deprecated. As of ODM 9.2.0. The parameter accuracy is not used. Use
other constructor without accuracy parameter. |
SupervisedFunctionSettings(LogicalDataSpecification lds,
DataUsageSpecification dus,
MiningFunction function,
MiningAlgorithmSettings algorithm)
Creates an instance of SupervisedFunctionSettings object. |
Method Summary |
Type | Method |
---|---|
float |
getDesiredAccuracy()
Deprecated. The parameter accuracy is not used. |
MiningAttribute[] |
getPredictorAttributes()
Returns a list of predictor attributes in this MFS. |
MiningAttribute[] |
getTargetAttributes()
Returns a list of target attributes in this MFS. |
MiningAttribute[] |
getUnpreparedPredictorAttributes()
Returns a list of unprepared predictor attributes in this MFS. |
void |
setDesiredAccuracy(float accuracy)
Deprecated. The parameter accuracy is not used. |
Methods inherited from class oracle.dmt.odm.settings.function.MiningFunctionSettings | ||||||||||||||||||||
activateAll, adjustAttributeUsage, adjustAttributeUsage, adjustDataPreparationStatus, getDataUsageSpecification, getLogicalDataSpecification, getMiningAlgorithmName, getMiningAlgorithmSettings, getMiningFunction, getName, getSupplementalAttributes, getValidateBeforeStore, listContents, listContents, listContents, listContents, remove, restore, restore, setDataUsageSpecification, setMiningAlgorithmName, setMiningAlgorithmSettings, setMiningFunction, setValidateBeforeStore,
MiningAlgorithmSettings object that
specifies the algorithm to be used for model building.
If null, a default algorithm is chosen.InvalidArgumentException - when lds or dus
is null.
SupervisedFunctionSettingspublic SupervisedFunctionSettings(LogicalDataSpecification lds, DataUsageSpecification dus, MiningFunction function, MiningAlgorithmSettings algorithm) throws InvalidArgumentException
SupervisedFunctionSettingspublic SupervisedFunctionSettings(float accuracy, LogicalDataSpecification lds, DataUsageSpecification dus, MiningFunction function) throws InvalidArgumentException
getDesiredAccuracypublic float getDesiredAccuracy()
setDesiredAccuracypublic void setDesiredAccuracy(float accuracy)
getTargetAttributespublic MiningAttribute[] getTargetAttributes()
getPredictorAttributespublic MiningAttribute[] getPredictorAttributes()
getUnpreparedPredictorAttributespublic MiningAttribute[] getUnpreparedPredictorAttributes()
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