org.apache.ignite.ml.svm

Class SVMLinearBinaryClassificationModel

java.lang.Object

org.apache.ignite.ml.svm.SVMLinearBinaryClassificationModel

All Implemented Interfaces:

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

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

Base class for SVM linear classification model.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SVMLinearBinaryClassificationModel(Vector weights, double intercept)

Method Summary

Modifier and Type	Method and Description
Double	apply(Vector input)
boolean	equals(Object o)
int	hashCode()
double	intercept() Gets the intercept.
boolean	isKeepingRawLabels() Gets the output label format mode.
<P> void	saveModel(Exporter<SVMLinearBinaryClassificationModel,P> exporter, P path) Save model by the given path.
double	threshold() Gets the threshold.
String	toString()
String	toString(boolean pretty)
Vector	weights() Gets the weights.
SVMLinearBinaryClassificationModel	withIntercept(double intercept) Set up the intercept.
SVMLinearBinaryClassificationModel	withRawLabels(boolean isKeepingRawLabels) Set up the output label format.
SVMLinearBinaryClassificationModel	withThreshold(double threshold) Set up the threshold.
SVMLinearBinaryClassificationModel	withWeights(Vector weights) Set up the weights.

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

SVMLinearBinaryClassificationModel

public SVMLinearBinaryClassificationModel(Vector weights,
                                          double intercept)

Method Detail

withRawLabels

public SVMLinearBinaryClassificationModel withRawLabels(boolean isKeepingRawLabels)

Set up the output label format.

Parameters:

isKeepingRawLabels - The parameter value.

Returns:

Model with new isKeepingRawLabels parameter value.

withThreshold

public SVMLinearBinaryClassificationModel withThreshold(double threshold)

Set up the threshold.

Parameters:

threshold - The parameter value.

Returns:

Model with new threshold parameter value.

withWeights

public SVMLinearBinaryClassificationModel withWeights(Vector weights)

Set up the weights.

Parameters:

weights - The parameter value.

Returns:

Model with new weights parameter value.

withIntercept

public SVMLinearBinaryClassificationModel withIntercept(double intercept)

Set up the intercept.

Parameters:

intercept - The parameter value.

Returns:

Model with new intercept parameter value.

apply

public Double apply(Vector input)

Specified by:

apply in interface Function<Vector,Double>

isKeepingRawLabels

public boolean isKeepingRawLabels()

Gets the output label format mode.

Returns:

The parameter value.

threshold

public double threshold()

Gets the threshold.

Returns:

The parameter value.

weights

public Vector weights()

Gets the weights.

Returns:

The parameter value.

intercept

public double intercept()

Gets the intercept.

Returns:

The parameter value.

saveModel

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

Save model by the given path.

Specified by:

saveModel in interface Exportable<SVMLinearBinaryClassificationModel>

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.