Uses of Class
com.imsl.datamining.PredictiveModel.SumOfProbabilitiesNotOneException

Packages that use PredictiveModel.SumOfProbabilitiesNotOneException

Package	Description
com.imsl.datamining	Data mining and machine learning.
com.imsl.datamining.decisionTree	Decision trees.
com.imsl.datamining.supportvectormachine	Support vector machines.

Uses of PredictiveModel.SumOfProbabilitiesNotOneException in com.imsl.datamining

Methods in com.imsl.datamining that throw PredictiveModel.SumOfProbabilitiesNotOneException

Modifier and Type	Method and Description
void	PredictiveModel.setClassProbabilities(double[][] probs) Sets the class probabilities.
void	PredictiveModel.setPriorProbabilities(double[] priors) Sets the prior probabilities for class membership.

Uses of PredictiveModel.SumOfProbabilitiesNotOneException in com.imsl.datamining.decisionTree

Methods in com.imsl.datamining.decisionTree that throw PredictiveModel.SumOfProbabilitiesNotOneException

Modifier and Type	Method and Description
void	DecisionTree.fitModel() Fits the decision tree.

Uses of PredictiveModel.SumOfProbabilitiesNotOneException in com.imsl.datamining.supportvectormachine

Methods in com.imsl.datamining.supportvectormachine that throw PredictiveModel.SumOfProbabilitiesNotOneException

Modifier and Type	Method and Description
double[]	SupportVectorMachine.predict() Returns the predicted values on the training data, i.e., returns the fitted values.
double[]	SupportVectorMachine.predict(double[][] testData) Returns the predicted values on the input test data.
protected double[]	SVOneClass.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.
protected double[]	SVClassification.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.
protected abstract double[]	SupportVectorMachine.predictValues(SVModel model, double[][] attributeData) Abstract method for generating the predicted values using the fitted support vector machine model.
protected double[]	SVRegression.predictValues(SVModel model, double[][] attributeData) Generates the predicted values on the attribute data using the given support vector machine model.