Uses of Interface
org.apache.ignite.ml.dataset.feature.Histogram

Packages that use Histogram

Package	Description
org.apache.ignite.ml.dataset.feature	Package for helper classes over features such as ObjectHistogram or FeatureMeta.
org.apache.ignite.ml.tree.randomforest.data.impurity	Contains implementation of impurity computers based on histograms.
org.apache.ignite.ml.tree.randomforest.data.impurity.basic	Contains implementation of basic classes for impurity computers.

Uses of Histogram in org.apache.ignite.ml.dataset.feature

Classes in org.apache.ignite.ml.dataset.feature with type parameters of type Histogram

Modifier and Type	Interface and Description
interface	Histogram<T,H extends Histogram<T,H>> Interface of histogram over type T.

Classes in org.apache.ignite.ml.dataset.feature that implement Histogram

Modifier and Type	Class and Description
class	ObjectHistogram<T> Basic implementation of Histogram that implements also DistributionComputer.

Uses of Histogram in org.apache.ignite.ml.tree.randomforest.data.impurity

Classes in org.apache.ignite.ml.tree.randomforest.data.impurity with type parameters of type Histogram

Modifier and Type	Interface and Description
interface	ImpurityComputer<T,H extends Histogram<T,H>> Interface represents an object that can compute best splitting point using features histograms.

Subinterfaces of Histogram in org.apache.ignite.ml.tree.randomforest.data.impurity

Modifier and Type	Interface and Description
interface	ImpurityComputer<T,H extends Histogram<T,H>> Interface represents an object that can compute best splitting point using features histograms.

Classes in org.apache.ignite.ml.tree.randomforest.data.impurity that implement Histogram

Modifier and Type	Class and Description
class	GiniHistogram Class contains implementation of splitting point finding algorithm based on Gini metric (see https://en.wikipedia.org/wiki/Gini_coefficient) and represents a set of histograms in according to this metric.
class	MSEHistogram Class contains implementation of splitting point finding algorithm based on MSE metric (see https://en.wikipedia.org/wiki/Mean_squared_error) and represents a set of histograms in according to this metric.

Uses of Histogram in org.apache.ignite.ml.tree.randomforest.data.impurity.basic

Classes in org.apache.ignite.ml.tree.randomforest.data.impurity.basic that implement Histogram

Modifier and Type	Class and Description
class	BootstrappedVectorsHistogram Histogram for bootstrapped vectors with predefined bucket mapping logic for feature id == featureId.
class	CountersHistogram Represents a historam of element counts per bucket.