com.pervasive.datarush.analytics.regression

Class AbstractPMMLRegressionModel.CategoricalPredictor

java.lang.Object

com.pervasive.datarush.analytics.regression.AbstractPMMLRegressionModel.CategoricalPredictor

Enclosing class:

AbstractPMMLRegressionModel

public static final class AbstractPMMLRegressionModel.CategoricalPredictor
extends Object

Constructor Summary

Constructors

Constructor and Description
CategoricalPredictor(String fieldName, String value, double coefficient) Create a CategoricalPredictor for a given possible value of a given discrete independent variable.
CategoricalPredictor(String fieldName, String value, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)

Method Summary

Modifier and Type	Method and Description
double	calculate(String fieldValue) Given a value of the independent variable, calculate it's value to add to the resultant dependent value.
double	getCoefficient() Get the coefficient value.
Integer	getDegreesOfFreedom() Get the degrees of freedom 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.
String	getValue()
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 Detail

CategoricalPredictor

public CategoricalPredictor(String fieldName,
                            String value,
                            double coefficient)

Create a CategoricalPredictor for a given possible value of a given discrete independent variable.

Parameters:

fieldName - the name of the independent variable

value - the possible value of the independent variable

coefficient - the weight of the predictor when the independent variable has that value

CategoricalPredictor

public CategoricalPredictor(String fieldName,
                            String value,
                            double coefficient,
                            int degreesOfFreedom,
                            double standardError,
                            double tTest,
                            double pValue)

Method Detail

getFieldName

public String getFieldName()

Get the independent variable name.

Returns:

independent variable name

getValue

public String getValue()

Returns:

the possible value of the independent variable

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(String fieldValue)

Given a value of the independent variable, calculate it's value to add to the resultant dependent value. This contribution is equal to the coefficient if the provided and stored values are equal, and 0 otherwise.

Parameters:

fieldValue - independent variable value

Returns:

contribution to dependent variable

setExtensionStatistic

public void setExtensionStatistic(String name,
                                  double value)