Module datarush.analytics
Package com.pervasive.datarush.analytics.regression

Class AbstractPMMLRegressionModel.NumericPredictor

java.lang.Object
com.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.NumericPredictor
Enclosing class:
AbstractPMMLRegressionModel
public static final class AbstractPMMLRegressionModel.NumericPredictor extends Object
Capture information about numeric predictor values.

  • Constructor Summary

    Constructors
    Constructor
    Description
    NumericPredictor(String fieldName, double coefficient)
    Create a numeric predictor for the given independent variable with the default exponent value of 1.
    NumericPredictor(String fieldName, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
    Create a numeric predictor for the given independent variable with the default exponent value of 1 and the specified statistics.
    NumericPredictor(String fieldName, int exponent, double coefficient)
    Create a numeric predictor for the given independent variable.
    NumericPredictor(String fieldName, int exponent, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
    Create a numeric predictor for the given independent variable with the specified statistics.

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    calculate(double value)
    Given a value of the independent variable, calculate its value to add to the resultant dependent value.
    double
    getCoefficient()
    Get the coefficient value.
    Integer
    getDegreesOfFreedom()
    Get the degrees of freedom value.
    int
    getExponent()
    Get the exponent value.
    String
    getFieldName()
    Get the independent variable name.
    Double
    getPValue()
    Get the p value.
    Double
    getStandardError()
    Get the standard error value.
    Double
    getTTest()
    Get the t-test value.
    void
    setExtensionStatistic(String name, double value)
     

    Methods inherited from class java.lang.Object

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

  • Constructor Details

    • NumericPredictor

      public NumericPredictor(String fieldName, int exponent, double coefficient)
      Create a numeric predictor for the given independent variable.
      Parameters:
      fieldName - name of the independent variable
      exponent - exponent of this variable
      coefficient - coefficient (Beta) of this variable

    • NumericPredictor

      public NumericPredictor(String fieldName, int exponent, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
      Create a numeric predictor for the given independent variable with the specified statistics.
      Parameters:
      fieldName - name of the independent variable
      exponent - exponent of this variable
      coefficient - coefficient (Beta) of this variable
      degreesOfFreedom -
      standardError -
      tTest -
      pValue -

    • NumericPredictor

      public NumericPredictor(String fieldName, double coefficient)
      Create a numeric predictor for the given independent variable with the default exponent value of 1.
      Parameters:
      fieldName - name of the independent variable
      coefficient - coefficient (Beta) of this variable

    • NumericPredictor

      public NumericPredictor(String fieldName, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
      Create a numeric predictor for the given independent variable with the default exponent value of 1 and the specified statistics.
      Parameters:
      fieldName - name of the independent variable
      coefficient - coefficient (Beta) of this variable
      degreesOfFreedom -
      standardError -
      tTest -
      pValue -

  • Method Details

    • getFieldName

      public String getFieldName()
      Get the independent variable name.
      Returns:
      independent variable name

    • getExponent

      public int getExponent()
      Get the exponent value.
      Returns:
      exponent value

    • getCoefficient

      public double getCoefficient()
      Get the coefficient value.
      Returns:
      coefficient value

    • getDegreesOfFreedom

      public Integer getDegreesOfFreedom()
      Get the degrees of freedom value.
      Returns:
      degrees of freedom value

    • getStandardError

      public Double getStandardError()
      Get the standard error value.
      Returns:
      standard error value

    • getTTest

      public Double getTTest()
      Get the t-test value.
      Returns:
      t-test value

    • getPValue

      public Double getPValue()
      Get the p value.
      Returns:
      p value

    • calculate

      public double calculate(double value)
      Given a value of the independent variable, calculate its value to add to the resultant dependent value.
      Parameters:
      value - independent variable value
      Returns:
      contribution to dependent variable

    • setExtensionStatistic

      public void setExtensionStatistic(String name, double value)