Package org.tribuo.common.xgboost

Class XGBoostTrainer.DMatrixTuple<T extends Output<T>>

java.lang.Object

org.tribuo.common.xgboost.XGBoostTrainer.DMatrixTuple<T>

Type Parameters:

T - The output type.

Enclosing class:

XGBoostTrainer<T extends Output<T>>

protected static class XGBoostTrainer.DMatrixTuple<T extends Output<T>>
extends Object

Tuple of a DMatrix, the number of valid features in each example, and the examples themselves.

One day it'll be a record.

Field Summary

Fields

Modifier and Type	Field	Description
final ml.dmlc.xgboost4j.java.DMatrix	data	The data matrix.
final Example<T>[]	examples	The examples.
final int[]	numValidFeatures	The number of valid features in each example.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	DMatrixTuple(ml.dmlc.xgboost4j.java.DMatrix data, int[] numValidFeatures, Example<T>[] examples)	Constructs a tuple containing the data and some Tribuo metadata.

Method Summary

Methods inherited from class java.lang.Object

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

Field Details

data

public final ml.dmlc.xgboost4j.java.DMatrix data

The data matrix.

numValidFeatures

public final int[] numValidFeatures

The number of valid features in each example.

examples

public final Example<T extends Output<T>>[] examples

The examples.

Constructor Details

DMatrixTuple

protected DMatrixTuple(ml.dmlc.xgboost4j.java.DMatrix data,
 int[] numValidFeatures,
 Example<T>[] examples)

Constructs a tuple containing the data and some Tribuo metadata.

Parameters:

data - The data matrix.

numValidFeatures - The number of valid features in each example.

examples - The examples.