Package ml.dmlc.xgboost4j

Class LabeledPoint

java.lang.Object

ml.dmlc.xgboost4j.LabeledPoint

All Implemented Interfaces:

Serializable

public final class LabeledPoint
extends Object
implements Serializable

Labeled training data point. TODO(hcho3): Migrate Record class when we upgrade to Java 14+, to reduce boilerplate.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
LabeledPoint(float label, int size, int[] indices, float[] values)
LabeledPoint(float label, int size, int[] indices, float[] values, float weight)
LabeledPoint(float label, int size, int[] indices, float[] values, float weight, int group)
LabeledPoint(float label, int size, int[] indices, float[] values, float weight, int group, float baseMargin)

Method Summary

Modifier and Type	Method	Description
float	baseMargin()
boolean	equals(Object obj)
int	group()
int	hashCode()
int[]	indices()
float	label()
int	size()
float[]	values()
float	weight()

Methods inherited from class java.lang.Object

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

Constructor Details

LabeledPoint

public LabeledPoint(float label,
 int size,
 int[] indices,
 float[] values,
 float weight,
 int group,
 float baseMargin)

Parameters:

label - Label of this point.

size - Feature dimensionality

indices - Feature indices of this point or `null` if the data is dense.

values - Feature values of this point.

weight - Weight of this point.

group - Group of this point (used for ranking) or -1.

baseMargin - Initial prediction on this point or `Float.NaN`

LabeledPoint

public LabeledPoint(float label,
 int size,
 int[] indices,
 float[] values)

Parameters:

label - Label of this point.

size - Feature dimensionality

indices - Feature indices of this point or `null` if the data is dense.

values - Feature values of this point.

LabeledPoint

public LabeledPoint(float label,
 int size,
 int[] indices,
 float[] values,
 float weight)

Parameters:

label - Label of this point.

size - Feature dimensionality

indices - Feature indices of this point or `null` if the data is dense.

values - Feature values of this point.

weight - Weight of this point.

LabeledPoint

public LabeledPoint(float label,
 int size,
 int[] indices,
 float[] values,
 float weight,
 int group)

Parameters:

label - Label of this point.

size - Feature dimensionality

indices - Feature indices of this point or `null` if the data is dense.

values - Feature values of this point.

weight - Weight of this point.

group - Group of this point (used for ranking) or -1.

Method Details

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

label

public float label()

size

public int size()

indices

public int[] indices()

values

public float[] values()

weight

public float weight()

group

public int group()

baseMargin

public float baseMargin()