Package | Description |
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org.apache.ignite.ml.tree.randomforest.data |
Package contains helper data structures for random forest implementation.
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org.apache.ignite.ml.tree.randomforest.data.impurity |
Contains implementation of impurity computers based on histograms.
|
Modifier and Type | Method and Description |
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NodeId |
TreeNode.getId() |
NodeId |
TreeNode.predictNextNodeKey(Vector features)
Returns leaf node for feature vector in according to decision tree.
|
Modifier and Type | Method and Description |
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NodeId |
ImpurityHistogramsComputer.NodeImpurityHistograms.getNodeId() |
Modifier and Type | Method and Description |
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Map<NodeId,ImpurityHistogramsComputer.NodeImpurityHistograms<S>> |
ImpurityHistogramsComputer.aggregateImpurityStatistics(ArrayList<TreeRoot> roots,
Map<Integer,BucketMeta> histMeta,
Map<NodeId,TreeNode> nodesToLearn,
Dataset<EmptyContext,BootstrappedDatasetPartition> dataset)
Computes histograms for each feature.
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Modifier and Type | Method and Description |
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Map<NodeId,ImpurityHistogramsComputer.NodeImpurityHistograms<S>> |
ImpurityHistogramsComputer.aggregateImpurityStatistics(ArrayList<TreeRoot> roots,
Map<Integer,BucketMeta> histMeta,
Map<NodeId,TreeNode> nodesToLearn,
Dataset<EmptyContext,BootstrappedDatasetPartition> dataset)
Computes histograms for each feature.
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Constructor and Description |
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NodeImpurityHistograms(NodeId nodeId)
Create an instance of NodeImpurityHistograms.
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GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024