Package org.tribuo.regression.liblinear

Class LinearRegressionType

java.lang.Object

org.tribuo.regression.liblinear.LinearRegressionType

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable, LibLinearType<Regressor>

public final class LinearRegressionType
extends Object
implements LibLinearType<Regressor>

The carrier type for liblinear linear regression modes.

Supports: L2R_L2LOSS_SVR, L2R_L2LOSS_SVR_DUAL, L2R_L1LOSS_SVR_DUAL.

See Also:

• Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	LinearRegressionType.LinearType	The type of linear regression algorithm.

Constructor Summary

Constructors

Constructor	Description
LinearRegressionType(LinearRegressionType.LinearType type)	Constructs a LinearRegressionType with the specified LibLinear algorithm.

Method Summary

Modifier and Type	Method	Description
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
de.bwaldvogel.liblinear.SolverType	getSolverType()	Returns the liblinear enum type.
boolean	isAnomaly()	Is this class an anomaly detection algorithm?
boolean	isClassification()	Is this class a Classification algorithm?
boolean	isRegression()	Is this class a Regression algorithm?

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Constructor Details

LinearRegressionType

public LinearRegressionType(LinearRegressionType.LinearType type)

Constructs a LinearRegressionType with the specified LibLinear algorithm.

Parameters:

type - The liblinear algorithm.

Method Details

isClassification

public boolean isClassification()

Description copied from interface: LibLinearType

Is this class a Classification algorithm?

Specified by:

isClassification in interface LibLinearType<Regressor>

Returns:

True if it's a classification algorithm.

isRegression

public boolean isRegression()

Description copied from interface: LibLinearType

Is this class a Regression algorithm?

Specified by:

isRegression in interface LibLinearType<Regressor>

Returns:

True if it's a regression algorithm.

isAnomaly

public boolean isAnomaly()

Description copied from interface: LibLinearType

Is this class an anomaly detection algorithm?

Specified by:

isAnomaly in interface LibLinearType<Regressor>

Returns:

True if it's an anomaly detection algorithm.

getSolverType

public de.bwaldvogel.liblinear.SolverType getSolverType()

Description copied from interface: LibLinearType

Returns the liblinear enum type.

Specified by:

getSolverType in interface LibLinearType<Regressor>

Returns:

The liblinear enum type.

getProvenance

public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>