Uses of Class
jsat.math.OnLineStatistics

Packages that use OnLineStatistics

Package	Description
jsat
jsat.classifiers
jsat.classifiers.trees
jsat.linear.vectorcollection
jsat.math
jsat.regression

Uses of OnLineStatistics in jsat

Methods in jsat that return OnLineStatistics

Modifier and Type	Method and Description
OnLineStatistics[]	DataSet.getOnlineColumnStats(boolean useWeights) Returns summary statistics computed in an online fashion for each numeric variable.
OnLineStatistics	DataSet.getOnlineDenseStats() Returns an OnLineStatistics object that is built by observing what proportion of each data point contains non zero numerical values.
OnLineStatistics	DataSet.getSparsityStats() Returns statistics on the sparsity of the vectors in this data set.

Uses of OnLineStatistics in jsat.classifiers

Methods in jsat.classifiers that return OnLineStatistics

Modifier and Type	Method and Description
OnLineStatistics	ClassificationModelEvaluation.getErrorRateStats() Returns the object that keeps track of the error on individual evaluations.
OnLineStatistics	ClassificationModelEvaluation.getScoreStats(ClassificationScore score) Gets the statistics associated with the given score.

Uses of OnLineStatistics in jsat.classifiers.trees

Methods in jsat.classifiers.trees that return OnLineStatistics

Modifier and Type	Method and Description
<Type extends DataSet> OnLineStatistics[]	ERTrees.evaluateFeatureImportance(DataSet<Type> data) Measures the statistics of feature importance from the trees in this forest.
<Type extends DataSet> OnLineStatistics[]	ERTrees.evaluateFeatureImportance(DataSet<Type> data, TreeFeatureImportanceInference imp) Measures the statistics of feature importance from the trees in this forest.
OnLineStatistics[]	RandomForest.getFeatureImportance() Random Forest can obtain an unbiased estimate of feature importance using a TreeFeatureImportanceInference method on the out-of-bag samples during training.

Uses of OnLineStatistics in jsat.linear.vectorcollection

Methods in jsat.linear.vectorcollection that return OnLineStatistics

Modifier and Type	Method and Description
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, List<V1> search, int k) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, List<V1> search, int k, ExecutorService threadpool) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, V1[] search, int k) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.
static <V0 extends Vec,V1 extends Vec> OnLineStatistics	VectorCollectionUtils.getKthNeighborStats(VectorCollection<V0> collection, V1[] search, int k, ExecutorService threadpool) Computes statistics about the distance of the k'th nearest neighbor for each data point in the search list.

Uses of OnLineStatistics in jsat.math

Methods in jsat.math that return OnLineStatistics

Modifier and Type	Method and Description
static OnLineStatistics	OnLineStatistics.add(OnLineStatistics A, OnLineStatistics B) Computes a new set of counts that is the sum of the counts from the given distributions.
OnLineStatistics	OnLineStatistics.clone()
static OnLineStatistics	OnLineStatistics.remove(OnLineStatistics A, OnLineStatistics B) Computes a new set of statistics that is the equivalent of having removed all observations in B from A.

Methods in jsat.math with parameters of type OnLineStatistics

Modifier and Type	Method and Description
void	OnLineStatistics.add(OnLineStatistics B) Adds to the current statistics all the samples that were collected in B.
static OnLineStatistics	OnLineStatistics.add(OnLineStatistics A, OnLineStatistics B) Computes a new set of counts that is the sum of the counts from the given distributions.
void	OnLineStatistics.remove(OnLineStatistics B) Removes from this set of statistics the observations that where collected in B. NOTE: removing statistics is not as numerically stable.
static OnLineStatistics	OnLineStatistics.remove(OnLineStatistics A, OnLineStatistics B) Computes a new set of statistics that is the equivalent of having removed all observations in B from A.

Constructors in jsat.math with parameters of type OnLineStatistics

Constructor and Description
OnLineStatistics(OnLineStatistics other) Copy Constructor

Uses of OnLineStatistics in jsat.regression

Methods in jsat.regression that return OnLineStatistics

Modifier and Type	Method and Description
OnLineStatistics	RegressionModelEvaluation.getScoreStats(RegressionScore score) Gets the statistics associated with the given score.