Package | Description |
---|---|
org.apache.ignite.ml.tree |
Root package for decision trees.
|
org.apache.ignite.ml.tree.data |
Contains data and data builder required for decision tree trainers built on top of partition based dataset.
|
org.apache.ignite.ml.tree.impurity |
Root package for decision tree impurity measures and calculators.
|
org.apache.ignite.ml.tree.impurity.gini |
Contains Gini impurity measure and calculator.
|
org.apache.ignite.ml.tree.impurity.mse |
Contains mean squared error impurity measure and calculator.
|
org.apache.ignite.ml.tree.leaf |
Root package for decision trees leaf builders.
|
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. 8.9.14 Release Date : November 5 2024