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| Package | Description |
|---|---|
| org.apache.ignite.ml.tree |
Root package for decision trees.
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| org.apache.ignite.ml.tree.data |
Contains data and data builder required for decision tree trainers built on top of partition based dataset.
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| org.apache.ignite.ml.tree.impurity |
Root package for decision tree impurity measures and calculators.
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| org.apache.ignite.ml.tree.impurity.gini |
Contains Gini impurity measure and calculator.
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| org.apache.ignite.ml.tree.impurity.mse |
Contains mean squared error impurity measure and calculator.
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| org.apache.ignite.ml.tree.leaf |
Root package for decision trees leaf builders.
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| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
| TreeDataIndex
Index for representing sorted dataset rows for each features.
|
| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
| TreeDataIndex
Index for representing sorted dataset rows for each features.
|
| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
| Class and Description |
|---|
| DecisionTreeData
A partition
data of the containing matrix of features and vector of labels stored in heap
with index on features. |
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024