Class SurrogateModelRegistry.SurrogateMetadata

java.lang.Object
neqsim.process.ml.surrogate.SurrogateModelRegistry.SurrogateMetadata
All Implemented Interfaces:
Serializable
Enclosing class:
SurrogateModelRegistry
public static class SurrogateModelRegistry.SurrogateMetadata extends Object implements Serializable
Metadata for a surrogate model.
Version:
1.0
Author:
ESOL
See Also:

  • Field Details

    • serialVersionUID

      private static final long serialVersionUID
      See Also:

    • modelType

      private String modelType

    • trainingDataSource

      private String trainingDataSource

    • trainedAt

      private Instant trainedAt

    • lastUsed

      private Instant lastUsed

    • predictionCount

      private int predictionCount

    • failureCount

      private int failureCount

    • extrapolationCount

      private int extrapolationCount

    • inputMin

      private double[] inputMin

    • inputMax

      private double[] inputMax

    • expectedAccuracy

      private double expectedAccuracy

  • Constructor Details

    • SurrogateMetadata

      public SurrogateMetadata()

  • Method Details

    • setInputBounds

      public void setInputBounds(double[] min, double[] max)
      Sets the valid input range for the model.
      Parameters:
      min - minimum values for each input
      max - maximum values for each input

    • isInputValid

      public boolean isInputValid(double[] input)
      Checks if an input is within the model's validity range.
      Parameters:
      input - input vector
      Returns:
      true if within range

    • recordPrediction

      void recordPrediction()

    • recordFailure

      void recordFailure()

    • recordExtrapolation

      void recordExtrapolation()

    • getFailureRate

      public double getFailureRate()
      Gets the failure rate of this model.
      Returns:
      failure rate (0-1)

    • getExtrapolationRate

      public double getExtrapolationRate()
      Gets the extrapolation rate (predictions outside training range).
      Returns:
      extrapolation rate (0-1)

    • getModelType

      public String getModelType()

    • setModelType

      public void setModelType(String modelType)

    • getTrainingDataSource

      public String getTrainingDataSource()

    • setTrainingDataSource

      public void setTrainingDataSource(String trainingDataSource)

    • getTrainedAt

      public Instant getTrainedAt()

    • setTrainedAt

      public void setTrainedAt(Instant trainedAt)

    • getLastUsed

      public Instant getLastUsed()

    • getPredictionCount

      public int getPredictionCount()

    • getFailureCount

      public int getFailureCount()

    • getExpectedAccuracy

      public double getExpectedAccuracy()

    • setExpectedAccuracy

      public void setExpectedAccuracy(double accuracy)