Package | Description |
---|---|
org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
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org.apache.ignite.ml.tree.randomforest.data.impurity |
Contains implementation of impurity computers based on histograms.
|
Modifier and Type | Class and Description |
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class |
RandomForestTrainer<L,S extends ImpurityComputer<BootstrappedVector,S>,T extends RandomForestTrainer<L,S,T>>
Class represents a realization of Random Forest algorithm.
|
Modifier and Type | Class and Description |
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class |
ImpurityHistogramsComputer<S extends ImpurityComputer<BootstrappedVector,S>>
Class containing logic of aggregation impurity statistics within learning dataset.
|
static class |
ImpurityHistogramsComputer.NodeImpurityHistograms<S extends ImpurityComputer<BootstrappedVector,S>>
Class represents per feature statistics for impurity computing.
|
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.
|
GridGain In-Memory Computing Platform : ver. 8.9.4 Release Date : April 16 2024