Uses of Class
jsat.classifiers.DataPointPair

Packages that use DataPointPair

Package	Description
jsat.classifiers
jsat.classifiers.bayesian
jsat.classifiers.trees
jsat.regression

Uses of DataPointPair in jsat.classifiers

Methods in jsat.classifiers that return DataPointPair

Modifier and Type	Method and Description
DataPointPair<Integer>	ClassificationDataSet.getDataPointPair(int i) Returns the i'th data point from the data set, paired with the integer indicating its true class

Methods in jsat.classifiers that return types with arguments of type DataPointPair

Modifier and Type	Method and Description
List<DataPointPair<Integer>>	ClassificationDataSet.getAsDPPList() Returns the data set as a list of DataPointPair.
List<DataPointPair<Double>>	ClassificationDataSet.getAsFloatDPPList() Returns the data set as a list of DataPointPair.

Constructor parameters in jsat.classifiers with type arguments of type DataPointPair

Constructor and Description
ClassificationDataSet(List<DataPointPair<Integer>> data, CategoricalData predicting) Creates a new data set for classification problems from the given list of data points.

Uses of DataPointPair in jsat.classifiers.bayesian

Methods in jsat.classifiers.bayesian with parameters of type DataPointPair

Modifier and Type	Method and Description
int	ConditionalProbabilityTable.dataPointToCord(DataPointPair<Integer> dataPoint, int targetClass, int[] cord) Converts a data point pair into a coordinate.
double	ConditionalProbabilityTable.query(int targetClass, DataPointPair<Integer> dataPoint) Queries the CPT for the probability that the class value of targetClas would occur with the given DataPointPair.

Uses of DataPointPair in jsat.classifiers.trees

Methods in jsat.classifiers.trees that return types with arguments of type DataPointPair

Modifier and Type	Method and Description
List<List<DataPointPair<Integer>>>	DecisionStump.trainC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options) This is a helper function that does the work of training this stump.
List<List<DataPointPair<Integer>>>	DecisionStump.trainC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options, ExecutorService ex)
List<List<DataPointPair<Double>>>	DecisionStump.trainR(List<DataPointPair<Double>> dataPoints, Set<Integer> options)
List<List<DataPointPair<Double>>>	DecisionStump.trainR(List<DataPointPair<Double>> dataPoints, Set<Integer> options, ExecutorService ex)

Method parameters in jsat.classifiers.trees with type arguments of type DataPointPair

Modifier and Type	Method and Description
protected static <T> void	DecisionStump.distributMissing(List<List<DataPointPair<T>>> splits, double[] fracs, List<DataPointPair<T>> hadMissing) Distributes a list of datapoints that had missing values to each split, re-weighted by the indicated fractions
protected static <T> void	DecisionStump.distributMissing(List<List<DataPointPair<T>>> splits, double[] fracs, List<DataPointPair<T>> hadMissing) Distributes a list of datapoints that had missing values to each split, re-weighted by the indicated fractions
protected static <T> void	DecisionStump.distributMissing(List<List<DataPointPair<T>>> splits, List<DataPointPair<T>> hadMissing) Distributes a list of datapoints that had missing values to each split, re-weighted by the indicated fractions
protected static <T> void	DecisionStump.distributMissing(List<List<DataPointPair<T>>> splits, List<DataPointPair<T>> hadMissing) Distributes a list of datapoints that had missing values to each split, re-weighted by the indicated fractions
protected double	DecisionStump.getGain(ImpurityScore origScore, List<List<DataPointPair<Integer>>> aSplit) From the score for the original set that is being split, this computes the gain as the improvement in classification from the original split.
protected DecisionTree.Node	RandomDecisionTree.makeNodeC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options, int depth, ExecutorService threadPool, ModifiableCountDownLatch mcdl)
protected DecisionTree.Node	DecisionTree.makeNodeC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options, int depth, ExecutorService threadPool, ModifiableCountDownLatch mcdl) Makes a new node for classification
protected DecisionTree.Node	RandomDecisionTree.makeNodeR(List<DataPointPair<Double>> dataPoints, Set<Integer> options, int depth, ExecutorService threadPool, ModifiableCountDownLatch mcdl)
protected DecisionTree.Node	DecisionTree.makeNodeR(List<DataPointPair<Double>> dataPoints, Set<Integer> options, int depth, ExecutorService threadPool, ModifiableCountDownLatch mcdl) Makes a new node for regression
static void	TreePruner.prune(TreeNodeVisitor root, TreePruner.PruningMethod method, List<DataPointPair<Integer>> testSet) Performs pruning starting from the root node of a tree
List<List<DataPointPair<Integer>>>	DecisionStump.trainC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options) This is a helper function that does the work of training this stump.
List<List<DataPointPair<Integer>>>	DecisionStump.trainC(List<DataPointPair<Integer>> dataPoints, Set<Integer> options, ExecutorService ex)
List<List<DataPointPair<Double>>>	DecisionStump.trainR(List<DataPointPair<Double>> dataPoints, Set<Integer> options)
List<List<DataPointPair<Double>>>	DecisionStump.trainR(List<DataPointPair<Double>> dataPoints, Set<Integer> options, ExecutorService ex)

Uses of DataPointPair in jsat.regression

Fields in jsat.regression with type parameters of type DataPointPair

Modifier and Type	Field and Description
protected List<DataPointPair<Double>>	RegressionDataSet.dataPoints The list of all data points, paired with their true regression output

Methods in jsat.regression that return DataPointPair

Modifier and Type	Method and Description
DataPointPair<Double>	RegressionDataSet.getDataPointPair(int i) Returns the i'th data point in the data set paired with its target regressor value.

Methods in jsat.regression that return types with arguments of type DataPointPair

Modifier and Type	Method and Description
List<DataPointPair<Double>>	RegressionDataSet.getAsDPPList() Returns a new list containing copies of the data points in this data set, paired with their regression target values.
List<DataPointPair<Double>>	RegressionDataSet.getDPPList() Returns a new list containing the data points in this data set, paired with their regression target values.

Methods in jsat.regression with parameters of type DataPointPair

Modifier and Type	Method and Description
void	RegressionDataSet.addDataPointPair(DataPointPair<Double> pair)

Method parameters in jsat.regression with type arguments of type DataPointPair

Modifier and Type	Method and Description
static RegressionDataSet	RegressionDataSet.usingDPPList(List<DataPointPair<Double>> list) Creates a new data set that uses the given list as its backing list.

Constructor parameters in jsat.regression with type arguments of type DataPointPair

Constructor and Description
RegressionDataSet(List<DataPointPair<Double>> list) Creates a new regression data set by copying all the data points in the given list.