public class SVMRegressionType extends Object implements SVMType<Regressor>
Supports C_SVC and NU_SVC.
Modifier and Type | Class and Description |
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static class |
SVMRegressionType.SVMMode
Type of regression SVM.
|
Constructor and Description |
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SVMRegressionType(SVMRegressionType.SVMMode type) |
Modifier and Type | Method and Description |
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int |
getNativeType()
The LibSVM int id for the algorithm.
|
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance |
getProvenance() |
boolean |
isAnomaly()
Is this an anomaly detection algorithm.
|
boolean |
isClassification()
Is this a classification algorithm.
|
boolean |
isNu()
Is this a nu-SVM.
|
boolean |
isRegression()
Is this a regression algorithm.
|
public SVMRegressionType(SVMRegressionType.SVMMode type)
public boolean isClassification()
SVMType
isClassification
in interface SVMType<Regressor>
public boolean isRegression()
SVMType
isRegression
in interface SVMType<Regressor>
public boolean isAnomaly()
SVMType
public boolean isNu()
SVMType
public int getNativeType()
SVMType
getNativeType
in interface SVMType<Regressor>
public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()
getProvenance
in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>
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