org.apache.ignite.ml.regressions.logistic.multiclass

Class LogRegressionMultiClassModel

java.lang.Object

org.apache.ignite.ml.regressions.logistic.multiclass.LogRegressionMultiClassModel

All Implemented Interfaces:

Serializable, Function<Vector,Double>, Exportable<LogRegressionMultiClassModel>, IgniteFunction<Vector,Double>, Model<Vector,Double>

public class LogRegressionMultiClassModel
extends Object
implements Model<Vector,Double>, Exportable<LogRegressionMultiClassModel>, Serializable

Base class for multi-classification model for set of Logistic Regression classifiers.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogRegressionMultiClassModel()

Method Summary

Modifier and Type	Method and Description
void	add(double clsLb, LogisticRegressionModel mdl) Adds a specific Log Regression binary classifier to the bunch of same classifiers.
Double	apply(Vector input)
boolean	equals(Object o)
Optional<LogisticRegressionModel>	getModel(Double clsLb)
int	hashCode()
<P> void	saveModel(Exporter<LogRegressionMultiClassModel,P> exporter, P path) Save model by the given path.
String	toString()
String	toString(boolean pretty)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.ignite.ml.Model

combine

Methods inherited from interface java.util.function.Function

andThen, compose, identity

Constructor Detail

LogRegressionMultiClassModel

public LogRegressionMultiClassModel()

Method Detail

apply

public Double apply(Vector input)

Specified by:

apply in interface Function<Vector,Double>

saveModel

public <P> void saveModel(Exporter<LogRegressionMultiClassModel,P> exporter,
                          P path)

Save model by the given path.

Specified by:

saveModel in interface Exportable<LogRegressionMultiClassModel>

Parameters:

exporter - Exporter.

path - Path to saved model.

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

toString

public String toString()

Overrides:

toString in class Object

toString

public String toString(boolean pretty)

Specified by:

toString in interface Model<Vector,Double>

Parameters:

pretty - Use pretty mode.

add

public void add(double clsLb,
                LogisticRegressionModel mdl)

Adds a specific Log Regression binary classifier to the bunch of same classifiers.

Parameters:

clsLb - The class label for the added model.

mdl - The model.

getModel

public Optional<LogisticRegressionModel> getModel(Double clsLb)

Parameters:

clsLb - Class label.

Returns:

model for class label if it exists.