public static final class AbstractPMMLRegressionModel.NumericPredictor extends Object
Constructor and Description |
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NumericPredictor(String fieldName,
double coefficient)
Create a numeric predictor for the given independent variable with the
default exponent value of 1.
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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.
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NumericPredictor(String fieldName,
int exponent,
double coefficient)
Create a numeric predictor for the given independent variable.
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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.
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Modifier and Type | Method and Description |
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double |
calculate(double value)
Given a value of the independent variable, calculate its value
to add to the resultant dependent value.
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double |
getCoefficient()
Get the coefficient value.
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Integer |
getDegreesOfFreedom()
Get the degrees of freedom value.
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int |
getExponent()
Get the exponent value.
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String |
getFieldName()
Get the independent variable name.
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Double |
getPValue()
Get the p value.
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Double |
getStandardError()
Get the standard error value.
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Double |
getTTest()
Get the t-test value.
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void |
setExtensionStatistic(String name,
double value) |
public NumericPredictor(String fieldName, int exponent, double coefficient)
fieldName
- name of the independent variableexponent
- exponent of this variablecoefficient
- coefficient (Beta) of this variablepublic NumericPredictor(String fieldName, int exponent, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
fieldName
- name of the independent variableexponent
- exponent of this variablecoefficient
- coefficient (Beta) of this variabledegreesOfFreedom
- standardError
- tTest
- pValue
- public NumericPredictor(String fieldName, double coefficient)
fieldName
- name of the independent variablecoefficient
- coefficient (Beta) of this variablepublic NumericPredictor(String fieldName, double coefficient, int degreesOfFreedom, double standardError, double tTest, double pValue)
fieldName
- name of the independent variablecoefficient
- coefficient (Beta) of this variabledegreesOfFreedom
- standardError
- tTest
- pValue
- public String getFieldName()
public int getExponent()
public double getCoefficient()
public Integer getDegreesOfFreedom()
public Double getStandardError()
public Double getTTest()
public Double getPValue()
public double calculate(double value)
value
- independent variable valuepublic void setExtensionStatistic(String name, double value)
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