Class TrainedDagSimulatorANM.NodeReport

java.lang.Object

edu.cmu.tetrad.sem.TrainedDagSimulatorANM.NodeReport

Enclosing class:

TrainedDagSimulatorANM

public static final class TrainedDagSimulatorANM.NodeReport
extends Object

Class representing a report for a node in the simulation results.

Field Summary

Fields

Modifier and Type	Field	Description
final boolean	discreteChild	Indicates whether the node is a discrete child.
final double	mseTrain	Mean Squared Error (MSE) for the training data associated with the node.
final String	node	Name of the node.
final int	numLevels	Number of discrete levels for the node.
final List<String>	parents	A list of parent nodes that influence the current node in the simulation report.
final double	residualMean	Mean Squared Error (MSE) for the residual data associated with the node.
final double	residualSd	Standard Deviation of the residual data associated with the node.
final int	trainingRowsUsed	Number of rows used for training the node in the simulation.
final double	xentTrain	Cross-Entropy (XENT) for the training data associated with the node.

Method Summary

Methods inherited from class Object

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

Field Details

node

public final String node

Name of the node.

discreteChild

public final boolean discreteChild

Indicates whether the node is a discrete child.

parents

public final List<String> parents

A list of parent nodes that influence the current node in the simulation report. Each entry in the list represents the name of a parent node. This list is immutable and reflects the structural dependencies in the simulation model.

trainingRowsUsed

public final int trainingRowsUsed

Number of rows used for training the node in the simulation.

mseTrain

public final double mseTrain

Mean Squared Error (MSE) for the training data associated with the node. This value is only applicable for nodes representing continuous variables. If the node is a discrete child, this value is set to NaN.

residualMean

public final double residualMean

Mean Squared Error (MSE) for the residual data associated with the node. This value is only applicable for nodes representing continuous variables. If the node is a discrete child, this value is set to NaN.

residualSd

public final double residualSd

Standard Deviation of the residual data associated with the node. This value is only applicable for nodes representing continuous variables. If the node is a discrete child, this value is set to NaN.

xentTrain

public final double xentTrain

Cross-Entropy (XENT) for the training data associated with the node. This value is only applicable for nodes representing discrete variables. If the node is a continuous child, this value is set to NaN.

numLevels

public final int numLevels

Number of discrete levels for the node. This value is only applicable for nodes representing discrete variables. If the node is a continuous child, this value is set to 0.