Class RiskMLInterface.MLModel

java.lang.Object

neqsim.process.safety.risk.ml.RiskMLInterface.MLModel

All Implemented Interfaces:

Serializable

Enclosing class:

RiskMLInterface

public static class RiskMLInterface.MLModel
extends Object
implements Serializable

Machine learning model wrapper.

Version:

1.0

Author:

NeqSim Development Team

See Also:

• Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	RiskMLInterface.MLModel.ModelType

Field Summary

Fields

Modifier and Type	Field	Description
private double	accuracy
private boolean	active
private Map<String,Object>	metadata
private String	modelId
private String	modelName
private RiskMLInterface.MLModel.ModelType	modelType
private RiskMLInterface.MLPredictor	predictor
private static final long	serialVersionUID
private Instant	trainedDate
private String	version

Constructor Summary

Constructors

Constructor	Description
MLModel(String id, String name, RiskMLInterface.MLModel.ModelType type)

Method Summary

Modifier and Type	Method	Description
void	addMetadata(String key, Object value)
double	getAccuracy()
Map<String,Object>	getMetadata()
String	getModelId()
String	getModelName()
RiskMLInterface.MLModel.ModelType	getModelType()
RiskMLInterface.MLPredictor	getPredictor()
Instant	getTrainedDate()
String	getVersion()
boolean	isActive()
void	setAccuracy(double accuracy)
void	setActive(boolean active)
void	setPredictor(RiskMLInterface.MLPredictor predictor)
void	setTrainedDate(Instant date)
void	setVersion(String version)
Map<String,Object>	toMap()

Methods inherited from class Object

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

Field Details

serialVersionUID

private static final long serialVersionUID

See Also:

• Constant Field Values

modelId

private String modelId

modelName

private String modelName

modelType

private RiskMLInterface.MLModel.ModelType modelType

version

private String version

trainedDate

private Instant trainedDate

accuracy

private double accuracy

active

private boolean active

predictor

private transient RiskMLInterface.MLPredictor predictor

metadata

private Map<String,Object> metadata

Constructor Details

MLModel

public MLModel(String id,
 String name,
 RiskMLInterface.MLModel.ModelType type)

Method Details

getModelId

public String getModelId()

getModelName

public String getModelName()

getModelType

public RiskMLInterface.MLModel.ModelType getModelType()

getVersion

public String getVersion()

setVersion

public void setVersion(String version)

getTrainedDate

public Instant getTrainedDate()

setTrainedDate

public void setTrainedDate(Instant date)

getAccuracy

public double getAccuracy()

setAccuracy

public void setAccuracy(double accuracy)

isActive

public boolean isActive()

setActive

public void setActive(boolean active)

setPredictor

public void setPredictor(RiskMLInterface.MLPredictor predictor)

getPredictor

public RiskMLInterface.MLPredictor getPredictor()

getMetadata

public Map<String,Object> getMetadata()

addMetadata

public void addMetadata(String key,
 Object value)

toMap

public Map<String,Object> toMap()