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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Histogram<T,H extends Histogram<T,H>>
Interface of histogram over type T.
|
Modifier and Type | Class and Description |
---|---|
class |
ObjectHistogram<T>
Basic implementation of
Histogram that implements also DistributionComputer . |
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.
|
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.
|
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.
|
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.
|
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024