Class MLIntegrationExamples.ThresholdModel

java.lang.Object

neqsim.process.safety.risk.ml.MLIntegrationExamples.BaseMLAdapter

neqsim.process.safety.risk.ml.MLIntegrationExamples.ThresholdModel

All Implemented Interfaces:

Serializable, MLIntegrationExamples.MLModelAdapter

Enclosing class:

MLIntegrationExamples

public static class MLIntegrationExamples.ThresholdModel
extends MLIntegrationExamples.BaseMLAdapter

Simple threshold-based model for testing and fallback.

Since:

3.3.0

Version:

1.0

Author:

NeqSim Development Team

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
private static final long	serialVersionUID
private Map<String,Double>	thresholds
private Map<String,Double>	weights

Fields inherited from class MLIntegrationExamples.BaseMLAdapter

featureDefaults, inputFeatures, isLoaded, modelName

Constructor Summary

Constructors

Constructor	Description
ThresholdModel(String modelName)	Creates a threshold model.

Method Summary

Modifier and Type	Method	Description
void	addThreshold(String feature, double threshold, double weight)	Adds a threshold rule.
double	predict(Map<String,Double> features)	Predicts output from input features.

Methods inherited from class MLIntegrationExamples.BaseMLAdapter

getInputFeatures, getModelName, isLoaded, prepareInput

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

thresholds

private Map<String,Double> thresholds

weights

private Map<String,Double> weights

Constructor Details

ThresholdModel

public ThresholdModel(String modelName)

Creates a threshold model.

Parameters:

modelName - model name

Method Details

addThreshold

public void addThreshold(String feature,
 double threshold,
 double weight)

Adds a threshold rule.

Parameters:

feature - feature name

threshold - threshold value

weight - contribution weight when threshold exceeded

predict

public double predict(Map<String,Double> features)

Description copied from interface: MLIntegrationExamples.MLModelAdapter

Predicts output from input features.

Parameters:

features - input features as name-value map

Returns:

prediction score or probability